{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\mnane\Dropbox\RESEARCH AND TEACHING\Migrants and Extremism\Writing\IDN Migration and Fundamentalism\E ISQ Migration final\ISQ Migration Nanes log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}13 Jun 2025, 12:45:42

{com}. do "C:\Users\mnane\Dropbox\RESEARCH AND TEACHING\Migrants and Extremism\Data\Survey Data Indonesia\02 Code\ISQ Replication Nanes Circular Migration.do"
{txt}
{com}. 
. ****Replication materials for Nanes, Matthew: Circular Migration and the Moderation of Social Attitudes***
. ****International Studies Quarterly - Accepted June 2025***
. ****Analysis conducted using Stata 15 for Windows****
. 
. cd "~\Dropbox\RESEARCH AND TEACHING\Migrants and Extremism\Data\Survey Data Indonesia\03 Clean Data"
{res}C:\Users\mnane\Dropbox\RESEARCH AND TEACHING\Migrants and Extremism\Data\Survey Data Indonesia\03 Clean Data
{txt}
{com}. use "IND Migrants Survey_ISQ.dta", replace
{txt}
{com}. 
. 
. tab male

       {txt}Male {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        507       30.18       30.18
{txt}          1 {c |}{res}      1,173       69.82      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00
{txt}
{com}. sum age, detail

                             {txt}Age
{hline 61}
      Percentiles      Smallest
 1%    {res}       22             18
{txt} 5%    {res}       27             18
{txt}10%    {res}       32             18       {txt}Obs         {res}      1,680
{txt}25%    {res}       39             18       {txt}Sum of Wgt. {res}      1,680

{txt}50%    {res}       49                      {txt}Mean          {res} 48.35952
                        {txt}Largest       Std. Dev.     {res} 12.55209
{txt}75%    {res}       58             86
{txt}90%    {res}     64.5             90       {txt}Variance      {res}  157.555
{txt}95%    {res}       69             90       {txt}Skewness      {res}-.0115982
{txt}99%    {res}       74             92       {txt}Kurtosis      {res} 2.538604
{txt}
{com}. tab urban

      {txt}urban {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        162        9.64        9.64
{txt}          1 {c |}{res}      1,518       90.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00
{txt}
{com}. tab lived_abroad 

      {txt}Lived {c |}
     Abroad {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,412       84.05       84.05
{txt}          1 {c |}{res}        268       15.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00
{txt}
{com}. tab lived_abroad_gulf 

   {txt}Lived in {c |}
       Gulf {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,574       93.69       93.69
{txt}          1 {c |}{res}        106        6.31      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00
{txt}
{com}. tab hh_abroad 

  {txt}hh_abroad {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        887       52.80       52.80
{txt}          1 {c |}{res}        793       47.20      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00
{txt}
{com}. 
. foreach country in saudi uae bahrain qatar kuwait oman jordan syria singapore china korea japan usa hongkong taiwan malaysia brunei {c -(}
{txt}  2{com}.         tab lived_abroad_`country'
{txt}  3{com}.         tab hh_abroad_`country'
{txt}  4{com}.         {c )-}

{txt}lived_abroa {c |}
    d_saudi {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,583       94.23       94.23
{txt}          1 {c |}{res}         97        5.77      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_s {c |}
       audi {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,502       89.40       89.40
{txt}          1 {c |}{res}        178       10.60      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
      d_uae {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,667       99.23       99.23
{txt}          1 {c |}{res}         13        0.77      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_u {c |}
         ae {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,630       97.02       97.02
{txt}          1 {c |}{res}         50        2.98      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
  d_bahrain {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,680      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_b {c |}
     ahrain {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,672       99.52       99.52
{txt}          1 {c |}{res}          8        0.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
    d_qatar {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,675       99.70       99.70
{txt}          1 {c |}{res}          5        0.30      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_q {c |}
       atar {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,665       99.11       99.11
{txt}          1 {c |}{res}         15        0.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
   d_kuwait {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,677       99.82       99.82
{txt}          1 {c |}{res}          3        0.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_k {c |}
      uwait {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,667       99.23       99.23
{txt}          1 {c |}{res}         13        0.77      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
     d_oman {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,679       99.94       99.94
{txt}          1 {c |}{res}          1        0.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_o {c |}
        man {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,673       99.58       99.58
{txt}          1 {c |}{res}          7        0.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
   d_jordan {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,678       99.88       99.88
{txt}          1 {c |}{res}          2        0.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_j {c |}
      ordan {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,677       99.82       99.82
{txt}          1 {c |}{res}          3        0.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
    d_syria {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,680      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_s {c |}
       yria {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,679       99.94       99.94
{txt}          1 {c |}{res}          1        0.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
d_singapore {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,651       98.27       98.27
{txt}          1 {c |}{res}         29        1.73      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_s {c |}
   ingapore {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,492       88.81       88.81
{txt}          1 {c |}{res}        188       11.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
    d_china {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,679       99.94       99.94
{txt}          1 {c |}{res}          1        0.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_c {c |}
       hina {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,678       99.88       99.88
{txt}          1 {c |}{res}          2        0.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
    d_korea {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,673       99.58       99.58
{txt}          1 {c |}{res}          7        0.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_k {c |}
       orea {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,626       96.79       96.79
{txt}          1 {c |}{res}         54        3.21      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
    d_japan {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,680      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_j {c |}
       apan {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,645       97.92       97.92
{txt}          1 {c |}{res}         35        2.08      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
      d_usa {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,679       99.94       99.94
{txt}          1 {c |}{res}          1        0.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_u {c |}
         sa {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,678       99.88       99.88
{txt}          1 {c |}{res}          2        0.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
 d_hongkong {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,664       99.05       99.05
{txt}          1 {c |}{res}         16        0.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_h {c |}
    ongkong {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,504       89.52       89.52
{txt}          1 {c |}{res}        176       10.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
   d_taiwan {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,645       97.92       97.92
{txt}          1 {c |}{res}         35        2.08      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_t {c |}
      aiwan {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,396       83.10       83.10
{txt}          1 {c |}{res}        284       16.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
 d_malaysia {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,569       93.39       93.39
{txt}          1 {c |}{res}        111        6.61      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_m {c |}
    alaysia {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,584       94.29       94.29
{txt}          1 {c |}{res}         96        5.71      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}lived_abroa {c |}
   d_brunei {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,673       99.58       99.58
{txt}          1 {c |}{res}          7        0.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00

{txt}hh_abroad_b {c |}
      runei {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,671       99.46       99.46
{txt}          1 {c |}{res}          9        0.54      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,680      100.00
{txt}
{com}.         
. **FIGURE 1: Demographic characteristics of prospective migrants relative to non-migrants
.         *SI Table D.1 Demographic characteristics of Indonesians seriously considering migrating
.         eststo clear
{txt}
{com}.         eststo: reg consider_migrat age education_years hh_employed_ft married econ_sat male bystander i.district if lived_abroad==0, cl(location)

{txt}Linear regression                               Number of obs     = {res}     1,409
                                                {txt}F(11, 27)         =  {res}     6.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0660
                                                {txt}Root MSE          =    {res} .14679

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}age {c |}{col 17}{res}{space 2}-.0024863{col 29}{space 2} .0005812{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-.0036788{col 70}{space 3}-.0012939
{txt}education_years {c |}{col 17}{res}{space 2} .0013073{col 29}{space 2} .0011596{col 40}{space 1}    1.13{col 49}{space 3}0.270{col 57}{space 4} -.001072{col 70}{space 3} .0036867
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0001213{col 29}{space 2}   .00964{col 40}{space 1}    0.01{col 49}{space 3}0.990{col 57}{space 4}-.0196583{col 70}{space 3}  .019901
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0257916{col 29}{space 2}  .012748{col 40}{space 1}   -2.02{col 49}{space 3}0.053{col 57}{space 4}-.0519483{col 70}{space 3} .0003651
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} -.008532{col 29}{space 2} .0039476{col 40}{space 1}   -2.16{col 49}{space 3}0.040{col 57}{space 4}-.0166319{col 70}{space 3}-.0004322
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0232857{col 29}{space 2} .0091584{col 40}{space 1}    2.54{col 49}{space 3}0.017{col 57}{space 4} .0044943{col 70}{space 3} .0420771
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0245102{col 29}{space 2} .0096574{col 40}{space 1}    2.54{col 49}{space 3}0.017{col 57}{space 4} .0046949{col 70}{space 3} .0443255
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0363704{col 29}{space 2} .0138207{col 40}{space 1}    2.63{col 49}{space 3}0.014{col 57}{space 4} .0080128{col 70}{space 3} .0647281
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0061728{col 29}{space 2} .0125254{col 40}{space 1}    0.49{col 49}{space 3}0.626{col 57}{space 4}-.0195272{col 70}{space 3} .0318729
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0098909{col 29}{space 2} .0105511{col 40}{space 1}   -0.94{col 49}{space 3}0.357{col 57}{space 4}  -.03154{col 70}{space 3} .0117582
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0110277{col 29}{space 2} .0105901{col 40}{space 1}   -1.04{col 49}{space 3}0.307{col 57}{space 4}-.0327569{col 70}{space 3} .0107014
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1435298{col 29}{space 2} .0389804{col 40}{space 1}    3.68{col 49}{space 3}0.001{col 57}{space 4} .0635486{col 70}{space 3} .2235109
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}.         esttab using "IND22_prospective_demo.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("Consider Migrating") label keep(age education_years hh_employed_ft married econ_sat male bystander) title(Demographic characteristics of Indonesians seriously considering migrating \label{c -(}tab:considerdemo{c )-}) note(OLS with village-clustered SE in parentheses.) replace
{res}{txt}(output written to {browse  `"IND22_prospective_demo.tex"'})

{com}. coefplot, drop(bystander 101.district 110.district 150.district 180.district _cons) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1)
{res}{txt}
{com}. 
. 
. **FIGURE 2: Social and political attitudes of prospective migrants relative to non-migrants
.         *SI Table D.2: Attitudinal predictors of Indonesians seriously considering migrating
.         eststo clear
{txt}
{com}.         foreach driver in extremism_idx religion_idx ideo_ed_gender ideo_takfir ideo_clerics ideo_husbands ideo_interest {c -(}
{txt}  2{com}.                 eststo: reg consider_migrat `driver' age education_years hh_employed_ft married econ_sat male bystander i.district if lived_abroad==0, cl(location)
{txt}  3{com}.                 estimates store `driver'
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,344
                                                {txt}F(12, 27)         =  {res}     6.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0729
                                                {txt}Root MSE          =    {res} .14974

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}extremism_idx {c |}{col 17}{res}{space 2} .0262489{col 29}{space 2} .0124213{col 40}{space 1}    2.11{col 49}{space 3}0.044{col 57}{space 4} .0007625{col 70}{space 3} .0517353
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0024583{col 29}{space 2} .0005556{col 40}{space 1}   -4.42{col 49}{space 3}0.000{col 57}{space 4}-.0035982{col 70}{space 3}-.0013183
{txt}education_years {c |}{col 17}{res}{space 2} .0017024{col 29}{space 2} .0011951{col 40}{space 1}    1.42{col 49}{space 3}0.166{col 57}{space 4}-.0007497{col 70}{space 3} .0041546
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0018026{col 29}{space 2} .0103291{col 40}{space 1}    0.17{col 49}{space 3}0.863{col 57}{space 4} -.019391{col 70}{space 3} .0229961
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0231802{col 29}{space 2} .0134833{col 40}{space 1}   -1.72{col 49}{space 3}0.097{col 57}{space 4}-.0508457{col 70}{space 3} .0044852
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0097602{col 29}{space 2} .0044888{col 40}{space 1}   -2.17{col 49}{space 3}0.039{col 57}{space 4}-.0189705{col 70}{space 3}-.0005498
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0223912{col 29}{space 2} .0093398{col 40}{space 1}    2.40{col 49}{space 3}0.024{col 57}{space 4} .0032276{col 70}{space 3} .0415548
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0256627{col 29}{space 2} .0101522{col 40}{space 1}    2.53{col 49}{space 3}0.018{col 57}{space 4} .0048322{col 70}{space 3} .0464933
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0379378{col 29}{space 2}  .013844{col 40}{space 1}    2.74{col 49}{space 3}0.011{col 57}{space 4} .0095323{col 70}{space 3} .0663433
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0071829{col 29}{space 2} .0131138{col 40}{space 1}    0.55{col 49}{space 3}0.588{col 57}{space 4}-.0197245{col 70}{space 3} .0340902
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0111882{col 29}{space 2}  .010838{col 40}{space 1}   -1.03{col 49}{space 3}0.311{col 57}{space 4} -.033426{col 70}{space 3} .0110497
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0105357{col 29}{space 2}  .011065{col 40}{space 1}   -0.95{col 49}{space 3}0.349{col 57}{space 4}-.0332392{col 70}{space 3} .0121678
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1390997{col 29}{space 2} .0375143{col 40}{space 1}    3.71{col 49}{space 3}0.001{col 57}{space 4} .0621267{col 70}{space 3} .2160727
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,409
                                                {txt}F(12, 27)         =  {res}     6.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0685
                                                {txt}Root MSE          =    {res} .14664

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}religion_idx {c |}{col 17}{res}{space 2}  .011208{col 29}{space 2} .0050718{col 40}{space 1}    2.21{col 49}{space 3}0.036{col 57}{space 4} .0008016{col 70}{space 3} .0216145
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0026586{col 29}{space 2} .0005948{col 40}{space 1}   -4.47{col 49}{space 3}0.000{col 57}{space 4} -.003879{col 70}{space 3}-.0014382
{txt}education_years {c |}{col 17}{res}{space 2} .0010274{col 29}{space 2} .0011488{col 40}{space 1}    0.89{col 49}{space 3}0.379{col 57}{space 4}-.0013298{col 70}{space 3} .0033846
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0020507{col 29}{space 2} .0099381{col 40}{space 1}   -0.21{col 49}{space 3}0.838{col 57}{space 4}-.0224419{col 70}{space 3} .0183406
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0244305{col 29}{space 2} .0124673{col 40}{space 1}   -1.96{col 49}{space 3}0.060{col 57}{space 4}-.0500112{col 70}{space 3} .0011502
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0087822{col 29}{space 2} .0040255{col 40}{space 1}   -2.18{col 49}{space 3}0.038{col 57}{space 4}-.0170418{col 70}{space 3}-.0005225
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0211558{col 29}{space 2}  .008971{col 40}{space 1}    2.36{col 49}{space 3}0.026{col 57}{space 4} .0027489{col 70}{space 3} .0395627
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0237395{col 29}{space 2} .0095264{col 40}{space 1}    2.49{col 49}{space 3}0.019{col 57}{space 4} .0041931{col 70}{space 3}  .043286
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2}  .034731{col 29}{space 2} .0145909{col 40}{space 1}    2.38{col 49}{space 3}0.025{col 57}{space 4} .0047931{col 70}{space 3}  .064669
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0041067{col 29}{space 2} .0131881{col 40}{space 1}    0.31{col 49}{space 3}0.758{col 57}{space 4} -.022953{col 70}{space 3} .0311665
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0097587{col 29}{space 2} .0106406{col 40}{space 1}   -0.92{col 49}{space 3}0.367{col 57}{space 4}-.0315915{col 70}{space 3} .0120741
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0117154{col 29}{space 2} .0114826{col 40}{space 1}   -1.02{col 49}{space 3}0.317{col 57}{space 4}-.0352757{col 70}{space 3} .0118449
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1576632{col 29}{space 2} .0410636{col 40}{space 1}    3.84{col 49}{space 3}0.001{col 57}{space 4} .0734077{col 70}{space 3} .2419187
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,408
                                                {txt}F(12, 27)         =  {res}     6.04
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0703
                                                {txt}Root MSE          =    {res} .14655

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}ideo_ed_gender {c |}{col 17}{res}{space 2} .0152033{col 29}{space 2} .0060934{col 40}{space 1}    2.50{col 49}{space 3}0.019{col 57}{space 4} .0027007{col 70}{space 3} .0277059
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0024857{col 29}{space 2} .0005828{col 40}{space 1}   -4.26{col 49}{space 3}0.000{col 57}{space 4}-.0036816{col 70}{space 3}-.0012898
{txt}education_years {c |}{col 17}{res}{space 2} .0015846{col 29}{space 2} .0011507{col 40}{space 1}    1.38{col 49}{space 3}0.180{col 57}{space 4}-.0007765{col 70}{space 3} .0039456
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0000674{col 29}{space 2} .0096474{col 40}{space 1}    0.01{col 49}{space 3}0.994{col 57}{space 4}-.0197274{col 70}{space 3} .0198621
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0246909{col 29}{space 2} .0125318{col 40}{space 1}   -1.97{col 49}{space 3}0.059{col 57}{space 4} -.050404{col 70}{space 3} .0010223
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0090708{col 29}{space 2} .0041463{col 40}{space 1}   -2.19{col 49}{space 3}0.038{col 57}{space 4}-.0175782{col 70}{space 3}-.0005634
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0224104{col 29}{space 2} .0090649{col 40}{space 1}    2.47{col 49}{space 3}0.020{col 57}{space 4} .0038108{col 70}{space 3} .0410101
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0244278{col 29}{space 2}  .009687{col 40}{space 1}    2.52{col 49}{space 3}0.018{col 57}{space 4} .0045517{col 70}{space 3} .0443039
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0351731{col 29}{space 2} .0144216{col 40}{space 1}    2.44{col 49}{space 3}0.022{col 57}{space 4} .0055825{col 70}{space 3} .0647637
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0061337{col 29}{space 2} .0127569{col 40}{space 1}    0.48{col 49}{space 3}0.635{col 57}{space 4}-.0200412{col 70}{space 3} .0323086
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0081406{col 29}{space 2} .0103683{col 40}{space 1}   -0.79{col 49}{space 3}0.439{col 57}{space 4}-.0294146{col 70}{space 3} .0131334
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0111131{col 29}{space 2} .0104568{col 40}{space 1}   -1.06{col 49}{space 3}0.297{col 57}{space 4}-.0325686{col 70}{space 3} .0103424
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}   .10017{col 29}{space 2} .0320788{col 40}{space 1}    3.12{col 49}{space 3}0.004{col 57}{space 4} .0343498{col 70}{space 3} .1659903
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,406
                                                {txt}F(12, 27)         =  {res}     6.88
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0660
                                                {txt}Root MSE          =    {res} .14699

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ideo_takfir {c |}{col 17}{res}{space 2}  .000239{col 29}{space 2} .0046749{col 40}{space 1}    0.05{col 49}{space 3}0.960{col 57}{space 4}-.0093531{col 70}{space 3} .0098312
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0024882{col 29}{space 2}  .000582{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-.0036823{col 70}{space 3}-.0012941
{txt}education_years {c |}{col 17}{res}{space 2} .0013007{col 29}{space 2} .0011379{col 40}{space 1}    1.14{col 49}{space 3}0.263{col 57}{space 4}-.0010341{col 70}{space 3} .0036355
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}  .000107{col 29}{space 2} .0097872{col 40}{space 1}    0.01{col 49}{space 3}0.991{col 57}{space 4}-.0199747{col 70}{space 3} .0201887
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0259654{col 29}{space 2} .0127476{col 40}{space 1}   -2.04{col 49}{space 3}0.052{col 57}{space 4}-.0521212{col 70}{space 3} .0001905
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0085791{col 29}{space 2} .0038775{col 40}{space 1}   -2.21{col 49}{space 3}0.036{col 57}{space 4}-.0165351{col 70}{space 3}-.0006232
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0231915{col 29}{space 2} .0091597{col 40}{space 1}    2.53{col 49}{space 3}0.017{col 57}{space 4} .0043972{col 70}{space 3} .0419857
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0245422{col 29}{space 2} .0095012{col 40}{space 1}    2.58{col 49}{space 3}0.016{col 57}{space 4} .0050474{col 70}{space 3}  .044037
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0366876{col 29}{space 2} .0137091{col 40}{space 1}    2.68{col 49}{space 3}0.013{col 57}{space 4} .0085588{col 70}{space 3} .0648164
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0062126{col 29}{space 2} .0125543{col 40}{space 1}    0.49{col 49}{space 3}0.625{col 57}{space 4}-.0195467{col 70}{space 3} .0319719
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0098951{col 29}{space 2} .0105134{col 40}{space 1}   -0.94{col 49}{space 3}0.355{col 57}{space 4}-.0314668{col 70}{space 3} .0116767
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0109768{col 29}{space 2} .0105426{col 40}{space 1}   -1.04{col 49}{space 3}0.307{col 57}{space 4}-.0326084{col 70}{space 3} .0106547
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1434553{col 29}{space 2} .0396251{col 40}{space 1}    3.62{col 49}{space 3}0.001{col 57}{space 4} .0621513{col 70}{space 3} .2247593
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,402
                                                {txt}F(12, 27)         =  {res}     7.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0672
                                                {txt}Root MSE          =    {res} .14711

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}ideo_clerics {c |}{col 17}{res}{space 2} .0092888{col 29}{space 2} .0044288{col 40}{space 1}    2.10{col 49}{space 3}0.045{col 57}{space 4} .0002017{col 70}{space 3} .0183759
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0025091{col 29}{space 2} .0005865{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-.0037125{col 70}{space 3}-.0013057
{txt}education_years {c |}{col 17}{res}{space 2} .0012164{col 29}{space 2}  .001174{col 40}{space 1}    1.04{col 49}{space 3}0.309{col 57}{space 4}-.0011924{col 70}{space 3} .0036253
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0006739{col 29}{space 2} .0097655{col 40}{space 1}    0.07{col 49}{space 3}0.945{col 57}{space 4}-.0193633{col 70}{space 3} .0207111
{txt}{space 8}married {c |}{col 17}{res}{space 2} -.025318{col 29}{space 2} .0129625{col 40}{space 1}   -1.95{col 49}{space 3}0.061{col 57}{space 4}-.0519149{col 70}{space 3}  .001279
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0090258{col 29}{space 2} .0040631{col 40}{space 1}   -2.22{col 49}{space 3}0.035{col 57}{space 4}-.0173627{col 70}{space 3} -.000689
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0221879{col 29}{space 2} .0092562{col 40}{space 1}    2.40{col 49}{space 3}0.024{col 57}{space 4} .0031959{col 70}{space 3}   .04118
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0244807{col 29}{space 2} .0097427{col 40}{space 1}    2.51{col 49}{space 3}0.018{col 57}{space 4} .0044904{col 70}{space 3}  .044471
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0381104{col 29}{space 2} .0137241{col 40}{space 1}    2.78{col 49}{space 3}0.010{col 57}{space 4} .0099508{col 70}{space 3}   .06627
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0073572{col 29}{space 2}  .012635{col 40}{space 1}    0.58{col 49}{space 3}0.565{col 57}{space 4}-.0185676{col 70}{space 3}  .033282
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0092722{col 29}{space 2} .0104191{col 40}{space 1}   -0.89{col 49}{space 3}0.381{col 57}{space 4}-.0306505{col 70}{space 3} .0121061
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0101571{col 29}{space 2} .0108554{col 40}{space 1}   -0.94{col 49}{space 3}0.358{col 57}{space 4}-.0324305{col 70}{space 3} .0121162
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1194926{col 29}{space 2} .0363015{col 40}{space 1}    3.29{col 49}{space 3}0.003{col 57}{space 4}  .045008{col 70}{space 3} .1939772
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,408
                                                {txt}F(12, 27)         =  {res}     6.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0727
                                                {txt}Root MSE          =    {res} .14636

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}ideo_husbands {c |}{col 17}{res}{space 2} .0207013{col 29}{space 2} .0091626{col 40}{space 1}    2.26{col 49}{space 3}0.032{col 57}{space 4} .0019011{col 70}{space 3} .0395014
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0023934{col 29}{space 2} .0005511{col 40}{space 1}   -4.34{col 49}{space 3}0.000{col 57}{space 4}-.0035243{col 70}{space 3}-.0012626
{txt}education_years {c |}{col 17}{res}{space 2} .0015197{col 29}{space 2} .0011576{col 40}{space 1}    1.31{col 49}{space 3}0.200{col 57}{space 4}-.0008556{col 70}{space 3}  .003895
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0004791{col 29}{space 2}  .009647{col 40}{space 1}    0.05{col 49}{space 3}0.961{col 57}{space 4}-.0193149{col 70}{space 3} .0202731
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0266998{col 29}{space 2} .0129041{col 40}{space 1}   -2.07{col 49}{space 3}0.048{col 57}{space 4}-.0531768{col 70}{space 3}-.0002229
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0088606{col 29}{space 2} .0040016{col 40}{space 1}   -2.21{col 49}{space 3}0.035{col 57}{space 4}-.0170711{col 70}{space 3}-.0006501
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0200843{col 29}{space 2} .0092119{col 40}{space 1}    2.18{col 49}{space 3}0.038{col 57}{space 4}  .001183{col 70}{space 3} .0389856
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0227276{col 29}{space 2} .0098154{col 40}{space 1}    2.32{col 49}{space 3}0.028{col 57}{space 4}  .002588{col 70}{space 3} .0428672
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0386385{col 29}{space 2}  .013553{col 40}{space 1}    2.85{col 49}{space 3}0.008{col 57}{space 4} .0108301{col 70}{space 3} .0664469
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0085971{col 29}{space 2} .0131034{col 40}{space 1}    0.66{col 49}{space 3}0.517{col 57}{space 4}-.0182888{col 70}{space 3}  .035483
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0082653{col 29}{space 2} .0106153{col 40}{space 1}   -0.78{col 49}{space 3}0.443{col 57}{space 4} -.030046{col 70}{space 3} .0135154
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0101854{col 29}{space 2} .0108715{col 40}{space 1}   -0.94{col 49}{space 3}0.357{col 57}{space 4}-.0324918{col 70}{space 3} .0121211
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .0813048{col 29}{space 2} .0383724{col 40}{space 1}    2.12{col 49}{space 3}0.043{col 57}{space 4} .0025712{col 70}{space 3} .1600383
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,388
                                                {txt}F(12, 27)         =  {res}     6.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0665
                                                {txt}Root MSE          =    {res} .14789

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}ideo_interest {c |}{col 17}{res}{space 2}-.0039945{col 29}{space 2} .0070565{col 40}{space 1}   -0.57{col 49}{space 3}0.576{col 57}{space 4}-.0184732{col 70}{space 3} .0104843
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0025247{col 29}{space 2} .0005785{col 40}{space 1}   -4.36{col 49}{space 3}0.000{col 57}{space 4}-.0037117{col 70}{space 3}-.0013378
{txt}education_years {c |}{col 17}{res}{space 2} .0012717{col 29}{space 2} .0011679{col 40}{space 1}    1.09{col 49}{space 3}0.286{col 57}{space 4}-.0011246{col 70}{space 3}  .003668
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0004874{col 29}{space 2} .0098511{col 40}{space 1}   -0.05{col 49}{space 3}0.961{col 57}{space 4}-.0207001{col 70}{space 3} .0197253
{txt}{space 8}married {c |}{col 17}{res}{space 2} -.025615{col 29}{space 2} .0126044{col 40}{space 1}   -2.03{col 49}{space 3}0.052{col 57}{space 4}-.0514771{col 70}{space 3}  .000247
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0083484{col 29}{space 2} .0039844{col 40}{space 1}   -2.10{col 49}{space 3}0.046{col 57}{space 4}-.0165236{col 70}{space 3}-.0001731
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0236644{col 29}{space 2} .0091683{col 40}{space 1}    2.58{col 49}{space 3}0.016{col 57}{space 4} .0048526{col 70}{space 3} .0424762
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0244776{col 29}{space 2} .0096914{col 40}{space 1}    2.53{col 49}{space 3}0.018{col 57}{space 4} .0045924{col 70}{space 3} .0443628
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0375494{col 29}{space 2} .0137344{col 40}{space 1}    2.73{col 49}{space 3}0.011{col 57}{space 4} .0093687{col 70}{space 3} .0657301
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0067185{col 29}{space 2} .0124743{col 40}{space 1}    0.54{col 49}{space 3}0.595{col 57}{space 4}-.0188766{col 70}{space 3} .0323136
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0093744{col 29}{space 2} .0103696{col 40}{space 1}   -0.90{col 49}{space 3}0.374{col 57}{space 4} -.030651{col 70}{space 3} .0119022
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0112449{col 29}{space 2}  .010814{col 40}{space 1}   -1.04{col 49}{space 3}0.308{col 57}{space 4}-.0334334{col 70}{space 3} .0109437
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  .155501{col 29}{space 2} .0371438{col 40}{space 1}    4.19{col 49}{space 3}0.000{col 57}{space 4} .0792882{col 70}{space 3} .2317138
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

{com}.         esttab using "IND22_prospective1.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("" "" "" "" "" "" "") label keep(extremism_idx religion_idx ideo_ed_gender ideo_takfir ideo_clerics ideo_husbands ideo_interest) title(Attitudinal predictors of Indonesians seriously considering migrating \label{c -(}tab:considerattitudes1{c )-}) note(OLS with village-clustered SE in parentheses. Includes individual and local controls.) replace
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_prospective1.tex"'})

{com}.         
.         *SI Table D.3: Attitudinal predictors of Indonesians seriously considering migrating
.         eststo clear
{txt}
{com}.         foreach driver in ideo_corrupt ideo_democracy ideo_violence pol_parl_open pol_parl_islam pol_sharia pol_secular {c -(}
{txt}  2{com}.                 eststo: reg consider_migrat `driver' age education_years hh_employed_ft married econ_sat male bystander i.district if lived_abroad==0, cl(location)
{txt}  3{com}.                 estimates store `driver'
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,398
                                                {txt}F(12, 27)         =  {res}     7.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0664
                                                {txt}Root MSE          =    {res} .14738

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}ideo_corrupt {c |}{col 17}{res}{space 2} .0028991{col 29}{space 2} .0076651{col 40}{space 1}    0.38{col 49}{space 3}0.708{col 57}{space 4}-.0128284{col 70}{space 3} .0186265
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0024878{col 29}{space 2} .0005766{col 40}{space 1}   -4.31{col 49}{space 3}0.000{col 57}{space 4}-.0036709{col 70}{space 3}-.0013047
{txt}education_years {c |}{col 17}{res}{space 2} .0012789{col 29}{space 2} .0011522{col 40}{space 1}    1.11{col 49}{space 3}0.277{col 57}{space 4}-.0010852{col 70}{space 3} .0036431
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0004592{col 29}{space 2} .0100277{col 40}{space 1}    0.05{col 49}{space 3}0.964{col 57}{space 4}-.0201159{col 70}{space 3} .0210342
{txt}{space 8}married {c |}{col 17}{res}{space 2} -.026003{col 29}{space 2}  .013011{col 40}{space 1}   -2.00{col 49}{space 3}0.056{col 57}{space 4}-.0526993{col 70}{space 3} .0006934
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0087329{col 29}{space 2} .0040175{col 40}{space 1}   -2.17{col 49}{space 3}0.039{col 57}{space 4}-.0169761{col 70}{space 3}-.0004897
{txt}{space 11}male {c |}{col 17}{res}{space 2}  .023381{col 29}{space 2} .0091186{col 40}{space 1}    2.56{col 49}{space 3}0.016{col 57}{space 4} .0046712{col 70}{space 3} .0420908
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0242944{col 29}{space 2} .0097108{col 40}{space 1}    2.50{col 49}{space 3}0.019{col 57}{space 4} .0043695{col 70}{space 3} .0442193
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0368218{col 29}{space 2} .0132914{col 40}{space 1}    2.77{col 49}{space 3}0.010{col 57}{space 4} .0095501{col 70}{space 3} .0640935
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0062764{col 29}{space 2} .0124066{col 40}{space 1}    0.51{col 49}{space 3}0.617{col 57}{space 4}-.0191799{col 70}{space 3} .0317327
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0100012{col 29}{space 2} .0105466{col 40}{space 1}   -0.95{col 49}{space 3}0.351{col 57}{space 4}-.0316411{col 70}{space 3} .0116386
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0110716{col 29}{space 2} .0105115{col 40}{space 1}   -1.05{col 49}{space 3}0.302{col 57}{space 4}-.0326394{col 70}{space 3} .0104962
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1378505{col 29}{space 2} .0403503{col 40}{space 1}    3.42{col 49}{space 3}0.002{col 57}{space 4} .0550585{col 70}{space 3} .2206426
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,375
                                                {txt}F(12, 27)         =  {res}     6.14
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0681
                                                {txt}Root MSE          =    {res} .14845

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}ideo_democracy {c |}{col 17}{res}{space 2} .0117723{col 29}{space 2}  .009076{col 40}{space 1}    1.30{col 49}{space 3}0.206{col 57}{space 4}-.0068502{col 70}{space 3} .0303948
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0025044{col 29}{space 2} .0005799{col 40}{space 1}   -4.32{col 49}{space 3}0.000{col 57}{space 4}-.0036943{col 70}{space 3}-.0013145
{txt}education_years {c |}{col 17}{res}{space 2} .0013503{col 29}{space 2} .0012015{col 40}{space 1}    1.12{col 49}{space 3}0.271{col 57}{space 4}-.0011149{col 70}{space 3} .0038155
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0005458{col 29}{space 2}  .009675{col 40}{space 1}    0.06{col 49}{space 3}0.955{col 57}{space 4}-.0193056{col 70}{space 3} .0203973
{txt}{space 8}married {c |}{col 17}{res}{space 2} -.024024{col 29}{space 2}  .012628{col 40}{space 1}   -1.90{col 49}{space 3}0.068{col 57}{space 4}-.0499346{col 70}{space 3} .0018865
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0086387{col 29}{space 2} .0041224{col 40}{space 1}   -2.10{col 49}{space 3}0.046{col 57}{space 4}-.0170971{col 70}{space 3}-.0001802
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0233503{col 29}{space 2} .0094311{col 40}{space 1}    2.48{col 49}{space 3}0.020{col 57}{space 4} .0039993{col 70}{space 3} .0427013
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0251376{col 29}{space 2}  .009735{col 40}{space 1}    2.58{col 49}{space 3}0.016{col 57}{space 4} .0051631{col 70}{space 3} .0451121
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0363758{col 29}{space 2} .0139242{col 40}{space 1}    2.61{col 49}{space 3}0.015{col 57}{space 4} .0078058{col 70}{space 3} .0649459
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0069113{col 29}{space 2} .0128896{col 40}{space 1}    0.54{col 49}{space 3}0.596{col 57}{space 4}-.0195359{col 70}{space 3} .0333585
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0105053{col 29}{space 2} .0106694{col 40}{space 1}   -0.98{col 49}{space 3}0.334{col 57}{space 4}-.0323971{col 70}{space 3} .0113865
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0117373{col 29}{space 2} .0106421{col 40}{space 1}   -1.10{col 49}{space 3}0.280{col 57}{space 4}-.0335731{col 70}{space 3} .0100986
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1166108{col 29}{space 2} .0365906{col 40}{space 1}    3.19{col 49}{space 3}0.004{col 57}{space 4} .0415332{col 70}{space 3} .1916885
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,402
                                                {txt}F(12, 27)         =  {res}     7.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0684
                                                {txt}Root MSE          =    {res} .14701

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}ideo_violence {c |}{col 17}{res}{space 2} .0113432{col 29}{space 2} .0078343{col 40}{space 1}    1.45{col 49}{space 3}0.159{col 57}{space 4}-.0047315{col 70}{space 3} .0274179
{txt}{space 12}age {c |}{col 17}{res}{space 2} -.002456{col 29}{space 2} .0005667{col 40}{space 1}   -4.33{col 49}{space 3}0.000{col 57}{space 4}-.0036188{col 70}{space 3}-.0012933
{txt}education_years {c |}{col 17}{res}{space 2} .0016689{col 29}{space 2} .0012312{col 40}{space 1}    1.36{col 49}{space 3}0.187{col 57}{space 4}-.0008574{col 70}{space 3} .0041952
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0004757{col 29}{space 2} .0097266{col 40}{space 1}    0.05{col 49}{space 3}0.961{col 57}{space 4}-.0194817{col 70}{space 3} .0204331
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0247294{col 29}{space 2} .0126372{col 40}{space 1}   -1.96{col 49}{space 3}0.061{col 57}{space 4}-.0506588{col 70}{space 3}    .0012
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} -.008509{col 29}{space 2} .0039787{col 40}{space 1}   -2.14{col 49}{space 3}0.042{col 57}{space 4}-.0166726{col 70}{space 3}-.0003454
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0235775{col 29}{space 2} .0091998{col 40}{space 1}    2.56{col 49}{space 3}0.016{col 57}{space 4}  .004701{col 70}{space 3}  .042454
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0254269{col 29}{space 2} .0098283{col 40}{space 1}    2.59{col 49}{space 3}0.015{col 57}{space 4} .0052609{col 70}{space 3} .0455928
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0357795{col 29}{space 2} .0134963{col 40}{space 1}    2.65{col 49}{space 3}0.013{col 57}{space 4} .0080873{col 70}{space 3} .0634717
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0055658{col 29}{space 2} .0124057{col 40}{space 1}    0.45{col 49}{space 3}0.657{col 57}{space 4}-.0198885{col 70}{space 3} .0310201
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0102065{col 29}{space 2} .0108161{col 40}{space 1}   -0.94{col 49}{space 3}0.354{col 57}{space 4}-.0323992{col 70}{space 3} .0119863
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0096052{col 29}{space 2} .0108981{col 40}{space 1}   -0.88{col 49}{space 3}0.386{col 57}{space 4}-.0319662{col 70}{space 3} .0127557
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1142284{col 29}{space 2} .0314917{col 40}{space 1}    3.63{col 49}{space 3}0.001{col 57}{space 4} .0496127{col 70}{space 3} .1788441
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,395
                                                {txt}F(12, 27)         =  {res}     5.47
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0668
                                                {txt}Root MSE          =    {res}  .1475

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}pol_parl_open {c |}{col 17}{res}{space 2} .0040322{col 29}{space 2} .0047655{col 40}{space 1}    0.85{col 49}{space 3}0.405{col 57}{space 4}-.0057458{col 70}{space 3} .0138102
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0025108{col 29}{space 2} .0005891{col 40}{space 1}   -4.26{col 49}{space 3}0.000{col 57}{space 4}-.0037196{col 70}{space 3}-.0013019
{txt}education_years {c |}{col 17}{res}{space 2} .0014098{col 29}{space 2} .0011436{col 40}{space 1}    1.23{col 49}{space 3}0.228{col 57}{space 4}-.0009367{col 70}{space 3} .0037563
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0002956{col 29}{space 2} .0097778{col 40}{space 1}   -0.03{col 49}{space 3}0.976{col 57}{space 4} -.020358{col 70}{space 3} .0197667
{txt}{space 8}married {c |}{col 17}{res}{space 2} -.025444{col 29}{space 2} .0128234{col 40}{space 1}   -1.98{col 49}{space 3}0.057{col 57}{space 4}-.0517555{col 70}{space 3} .0008675
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0088432{col 29}{space 2} .0040999{col 40}{space 1}   -2.16{col 49}{space 3}0.040{col 57}{space 4}-.0172554{col 70}{space 3}-.0004309
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0221447{col 29}{space 2} .0090479{col 40}{space 1}    2.45{col 49}{space 3}0.021{col 57}{space 4} .0035799{col 70}{space 3} .0407094
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0250094{col 29}{space 2} .0099905{col 40}{space 1}    2.50{col 49}{space 3}0.019{col 57}{space 4} .0045106{col 70}{space 3} .0455082
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0377138{col 29}{space 2} .0141382{col 40}{space 1}    2.67{col 49}{space 3}0.013{col 57}{space 4} .0087046{col 70}{space 3}  .066723
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0062227{col 29}{space 2}  .012869{col 40}{space 1}    0.48{col 49}{space 3}0.633{col 57}{space 4}-.0201822{col 70}{space 3} .0326277
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0100697{col 29}{space 2} .0106862{col 40}{space 1}   -0.94{col 49}{space 3}0.354{col 57}{space 4}-.0319959{col 70}{space 3} .0118566
{txt}{space 11}180  {c |}{col 17}{res}{space 2} -.011308{col 29}{space 2} .0105765{col 40}{space 1}   -1.07{col 49}{space 3}0.294{col 57}{space 4}-.0330093{col 70}{space 3} .0103933
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1370395{col 29}{space 2} .0387239{col 40}{space 1}    3.54{col 49}{space 3}0.001{col 57}{space 4} .0575846{col 70}{space 3} .2164943
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,401
                                                {txt}F(12, 27)         =  {res}     5.97
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0662
                                                {txt}Root MSE          =    {res} .14723

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}pol_parl_islam {c |}{col 17}{res}{space 2}  .001162{col 29}{space 2}  .004295{col 40}{space 1}    0.27{col 49}{space 3}0.789{col 57}{space 4}-.0076507{col 70}{space 3} .0099747
{txt}{space 12}age {c |}{col 17}{res}{space 2} -.002498{col 29}{space 2} .0005822{col 40}{space 1}   -4.29{col 49}{space 3}0.000{col 57}{space 4}-.0036926{col 70}{space 3}-.0013035
{txt}education_years {c |}{col 17}{res}{space 2} .0013883{col 29}{space 2} .0012184{col 40}{space 1}    1.14{col 49}{space 3}0.265{col 57}{space 4}-.0011117{col 70}{space 3} .0038883
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0000601{col 29}{space 2} .0097079{col 40}{space 1}   -0.01{col 49}{space 3}0.995{col 57}{space 4}-.0199791{col 70}{space 3} .0198589
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0254233{col 29}{space 2} .0127582{col 40}{space 1}   -1.99{col 49}{space 3}0.056{col 57}{space 4} -.051601{col 70}{space 3} .0007543
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0085245{col 29}{space 2} .0040537{col 40}{space 1}   -2.10{col 49}{space 3}0.045{col 57}{space 4} -.016842{col 70}{space 3}-.0002069
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0233451{col 29}{space 2}  .009449{col 40}{space 1}    2.47{col 49}{space 3}0.020{col 57}{space 4} .0039573{col 70}{space 3} .0427329
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}  .024482{col 29}{space 2} .0097414{col 40}{space 1}    2.51{col 49}{space 3}0.018{col 57}{space 4} .0044942{col 70}{space 3} .0444697
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0364697{col 29}{space 2} .0138843{col 40}{space 1}    2.63{col 49}{space 3}0.014{col 57}{space 4} .0079814{col 70}{space 3}  .064958
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0064843{col 29}{space 2} .0124913{col 40}{space 1}    0.52{col 49}{space 3}0.608{col 57}{space 4}-.0191459{col 70}{space 3} .0321144
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0096791{col 29}{space 2} .0107152{col 40}{space 1}   -0.90{col 49}{space 3}0.374{col 57}{space 4} -.031665{col 70}{space 3} .0123067
{txt}{space 11}180  {c |}{col 17}{res}{space 2} -.010511{col 29}{space 2} .0108331{col 40}{space 1}   -0.97{col 49}{space 3}0.341{col 57}{space 4}-.0327387{col 70}{space 3} .0117167
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1414171{col 29}{space 2} .0389084{col 40}{space 1}    3.63{col 49}{space 3}0.001{col 57}{space 4} .0615836{col 70}{space 3} .2212506
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,400
                                                {txt}F(12, 27)         =  {res}     6.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0664
                                                {txt}Root MSE          =    {res} .14727

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}pol_sharia {c |}{col 17}{res}{space 2} .0046203{col 29}{space 2}  .007601{col 40}{space 1}    0.61{col 49}{space 3}0.548{col 57}{space 4}-.0109755{col 70}{space 3} .0202162
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0024772{col 29}{space 2} .0005791{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-.0036654{col 70}{space 3}-.0012891
{txt}education_years {c |}{col 17}{res}{space 2}  .001402{col 29}{space 2} .0012137{col 40}{space 1}    1.16{col 49}{space 3}0.258{col 57}{space 4}-.0010882{col 70}{space 3} .0038923
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0004996{col 29}{space 2} .0098956{col 40}{space 1}    0.05{col 49}{space 3}0.960{col 57}{space 4}-.0198044{col 70}{space 3} .0208036
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0254082{col 29}{space 2}  .012825{col 40}{space 1}   -1.98{col 49}{space 3}0.058{col 57}{space 4}-.0517229{col 70}{space 3} .0009064
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0086181{col 29}{space 2} .0039846{col 40}{space 1}   -2.16{col 49}{space 3}0.040{col 57}{space 4}-.0167938{col 70}{space 3}-.0004424
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0237656{col 29}{space 2}  .009112{col 40}{space 1}    2.61{col 49}{space 3}0.015{col 57}{space 4} .0050692{col 70}{space 3}  .042462
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0248842{col 29}{space 2} .0097768{col 40}{space 1}    2.55{col 49}{space 3}0.017{col 57}{space 4} .0048238{col 70}{space 3} .0449446
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0357831{col 29}{space 2} .0138707{col 40}{space 1}    2.58{col 49}{space 3}0.016{col 57}{space 4} .0073229{col 70}{space 3} .0642434
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0061176{col 29}{space 2} .0126356{col 40}{space 1}    0.48{col 49}{space 3}0.632{col 57}{space 4}-.0198086{col 70}{space 3} .0320438
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0107627{col 29}{space 2} .0104954{col 40}{space 1}   -1.03{col 49}{space 3}0.314{col 57}{space 4}-.0322975{col 70}{space 3} .0107721
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0112114{col 29}{space 2}   .01074{col 40}{space 1}   -1.04{col 49}{space 3}0.306{col 57}{space 4} -.033248{col 70}{space 3} .0108253
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1363734{col 29}{space 2} .0393874{col 40}{space 1}    3.46{col 49}{space 3}0.002{col 57}{space 4} .0555572{col 70}{space 3} .2171896
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,398
                                                {txt}F(12, 27)         =  {res}     7.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0662
                                                {txt}Root MSE          =    {res} .14739

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}consider_migrat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}pol_secular {c |}{col 17}{res}{space 2} .0007703{col 29}{space 2} .0038875{col 40}{space 1}    0.20{col 49}{space 3}0.844{col 57}{space 4}-.0072063{col 70}{space 3} .0087468
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0025047{col 29}{space 2} .0005851{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-.0037052{col 70}{space 3}-.0013041
{txt}education_years {c |}{col 17}{res}{space 2} .0013135{col 29}{space 2}  .001105{col 40}{space 1}    1.19{col 49}{space 3}0.245{col 57}{space 4}-.0009538{col 70}{space 3} .0035808
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0001146{col 29}{space 2} .0098961{col 40}{space 1}    0.01{col 49}{space 3}0.991{col 57}{space 4}-.0201904{col 70}{space 3} .0204197
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0254814{col 29}{space 2} .0128336{col 40}{space 1}   -1.99{col 49}{space 3}0.057{col 57}{space 4}-.0518139{col 70}{space 3}  .000851
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}-.0086886{col 29}{space 2}  .003977{col 40}{space 1}   -2.18{col 49}{space 3}0.038{col 57}{space 4}-.0168487{col 70}{space 3}-.0005285
{txt}{space 11}male {c |}{col 17}{res}{space 2}   .02327{col 29}{space 2} .0092419{col 40}{space 1}    2.52{col 49}{space 3}0.018{col 57}{space 4} .0043071{col 70}{space 3} .0422328
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0242653{col 29}{space 2} .0097807{col 40}{space 1}    2.48{col 49}{space 3}0.020{col 57}{space 4}  .004197{col 70}{space 3} .0443336
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0369583{col 29}{space 2} .0138572{col 40}{space 1}    2.67{col 49}{space 3}0.013{col 57}{space 4} .0085256{col 70}{space 3} .0653909
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0064173{col 29}{space 2} .0125169{col 40}{space 1}    0.51{col 49}{space 3}0.612{col 57}{space 4}-.0192653{col 70}{space 3} .0320999
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0099258{col 29}{space 2}  .010661{col 40}{space 1}   -0.93{col 49}{space 3}0.360{col 57}{space 4}-.0318003{col 70}{space 3} .0119487
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0107787{col 29}{space 2} .0106443{col 40}{space 1}   -1.01{col 49}{space 3}0.320{col 57}{space 4} -.032619{col 70}{space 3} .0110616
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1435851{col 29}{space 2} .0389487{col 40}{space 1}    3.69{col 49}{space 3}0.001{col 57}{space 4}  .063669{col 70}{space 3} .2235012
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

{com}.         esttab using "IND22_prospective2.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("" "" "" "" "" "" "") label keep(ideo_corrupt ideo_democracy ideo_violence pol_parl_open pol_parl_islam pol_sharia pol_secular) title(Attitudinal predictors of Indonesians seriously considering migrating \label{c -(}tab:considerattitudes2{c )-}) note(OLS with village-clustered SE in parentheses. Includes individual and local controls.) replace
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_prospective2.tex"'})

{com}. 
. coefplot extremism_idx religion_idx ideo_ed_gender ideo_takfir ideo_clerics ideo_husbands ideo_interest ideo_corrupt ideo_democracy ideo_violence pol_parl_open pol_parl_islam pol_sharia pol_secular, drop(age education_years hh_employed_ft married econ_sat male bystander 101.district 110.district 150.district 180.district _cons) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1)
{res}{txt}
{com}. 
.         
. **TABLE 1: Balance b etween prospective and returned migrants
. gen balanceind=.
{txt}(1,680 missing values generated)

{com}. replace balanceind=0 if consider_migrat==1
{txt}(60 real changes made)

{com}. replace balanceind=1 if lived_abroad==1
{txt}(268 real changes made)

{com}. ttest urban, by(balanceind)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     33{col 22} .9090909{col 34} .0508197{col 46} .2919371{col 58} .8055745{col 70} 1.012607
       {txt}1 {c |}{res}{col 12}    268{col 22} .9514925{col 34} .0131477{col 46} .2152379{col 58} .9256061{col 70}  .977379
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    301{col 22} .9468439{col 34} .0129526{col 46} .2247184{col 58} .9213545{col 70} .9723332
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0424016{col 34} .0414538{col 58}-.1239797{col 70} .0391765
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.0229
{txt}Ho: diff = 0                                     degrees of freedom = {res}     299

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1536         {txt}Pr(|T| > |t|) = {res}0.3072          {txt}Pr(T > t) = {res}0.8464
{txt}
{com}. ttest education_years, by(balanceind)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     33{col 22} 9.969697{col 34} .4000115{col 46} 2.297891{col 58}   9.1549{col 70} 10.78449
       {txt}1 {c |}{res}{col 12}    268{col 22} 7.850746{col 34} .1978852{col 46} 3.239521{col 58} 7.461132{col 70}  8.24036
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    301{col 22} 8.083056{col 34} .1853709{col 46} 3.216066{col 58} 7.718264{col 70} 8.447849
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 2.118951{col 34} .5815333{col 58} .9745341{col 70} 3.263367
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.6437
{txt}Ho: diff = 0                                     degrees of freedom = {res}     299

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9998         {txt}Pr(|T| > |t|) = {res}0.0003          {txt}Pr(T > t) = {res}0.0002
{txt}
{com}. ttest ed_govt, by(balanceind)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     33{col 22} .4242424{col 34} .0873679{col 46} .5018904{col 58} .2462798{col 70}  .602205
       {txt}1 {c |}{res}{col 12}    261{col 22}   .48659{col 34} .0309975{col 46} .5007804{col 58} .4255519{col 70} .5476282
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    294{col 22} .4795918{col 34}  .029186{col 46} .5004351{col 58} .4221511{col 70} .5370326
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0623476{col 34} .0925442{col 58}-.2444859{col 70} .1197907
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.6737
{txt}Ho: diff = 0                                     degrees of freedom = {res}     292

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2505         {txt}Pr(|T| > |t|) = {res}0.5010          {txt}Pr(T > t) = {res}0.7495
{txt}
{com}. ttest ed_madrasa_gov, by(balanceind)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     33{col 22} .2121212{col 34} .0722681{col 46} .4151488{col 58} .0649159{col 70} .3593266
       {txt}1 {c |}{res}{col 12}    261{col 22} .2413793{col 34} .0265385{col 46} .4287419{col 58} .1891216{col 70}  .293637
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    294{col 22} .2380952{col 34} .0248824{col 46} .4266439{col 58} .1891244{col 70} .2870661
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0292581{col 34} .0789409{col 58}-.1846234{col 70} .1261072
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3706
{txt}Ho: diff = 0                                     degrees of freedom = {res}     292

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3556         {txt}Pr(|T| > |t|) = {res}0.7112          {txt}Pr(T > t) = {res}0.6444
{txt}
{com}. ttest married, by(balanceind)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     33{col 22} .8484848{col 34} .0633833{col 46} .3641095{col 58} .7193772{col 70} .9775925
       {txt}1 {c |}{res}{col 12}    268{col 22}  .869403{col 34} .0206216{col 46} .3375895{col 58} .8288014{col 70} .9100045
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    301{col 22} .8671096{col 34} .0195985{col 46} .3400215{col 58} .8285417{col 70} .9056776
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0209181{col 34} .0628217{col 58}-.1445469{col 70} .1027106
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3330
{txt}Ho: diff = 0                                     degrees of freedom = {res}     299

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3697         {txt}Pr(|T| > |t|) = {res}0.7394          {txt}Pr(T > t) = {res}0.6303
{txt}
{com}. ttest male, by(balanceind)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     33{col 22} .7878788{col 34} .0722681{col 46} .4151488{col 58} .6406734{col 70} .9350841
       {txt}1 {c |}{res}{col 12}    268{col 22} .5223881{col 34} .0305688{col 46}  .500433{col 58} .4622015{col 70} .5825746
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    301{col 22}  .551495{col 34}  .028714{col 46} .4981694{col 58} .4949886{col 70} .6080014
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2654907{col 34} .0907685{col 58} .0868648{col 70} .4441167
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.9249
{txt}Ho: diff = 0                                     degrees of freedom = {res}     299

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9981         {txt}Pr(|T| > |t|) = {res}0.0037          {txt}Pr(T > t) = {res}0.0019
{txt}
{com}. ttest bystander, by(balanceind)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     33{col 22} .7575758{col 34} .0757576{col 46} .4351941{col 58} .6032626{col 70} .9118889
       {txt}1 {c |}{res}{col 12}    268{col 22} .6455224{col 34} .0292748{col 46} .4792497{col 58} .5878835{col 70} .7031613
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    301{col 22} .6578073{col 34}  .027392{col 46} .4752338{col 58} .6039025{col 70} .7117122
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1120534{col 34} .0875801{col 58}-.0602982{col 70} .2844049
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.2794
{txt}Ho: diff = 0                                     degrees of freedom = {res}     299

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8991         {txt}Pr(|T| > |t|) = {res}0.2017          {txt}Pr(T > t) = {res}0.1009
{txt}
{com}. 
.                 
. **FIGURE 3: Average distribution of Egalitarian Democracy scores among respondents' destination countries
. hist egaldem20 if lived_abroad==1, percent
{txt}(bin={res}16{txt}, start={res}-.21599999{txt}, width={res}.0408125{txt})
{res}{txt}
{com}. 
. 
. **FIGURE 4: Comparing attitudes of returned migrants with prospective and non-migrants
. gen consider_migrat_nm = 0
{txt}
{com}. replace consider_migrat_nm = 1 if consider_migrat==1 & lived_abroad==0
{txt}(33 real changes made)

{com}. label variable consider_migrat_nm "Prospective Migrant"
{txt}
{com}. gen never_migrate = 0
{txt}
{com}. replace never_migrate = 1 if lived_abroad==0 & consider_migrat == 0
{txt}(1,379 real changes made)

{com}. label variable never_migrate "Non-Migrant"
{txt}
{com}.         
.         *SI Table D.4: Effects of host-country liberalism on returned migrants' attitudes
.         eststo clear
{txt}
{com}.         foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.                 eststo: reg `outcome' consider_migrat_nm never_migrate egaldem20 age education_years hh_employed_ft married econ_sat male bystander i.district, cl(location)
{txt}  3{com}.                 estimates store `outcome'_egaldem
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,595
                                                {txt}F(14, 27)         =  {res}     4.32
                                                {txt}Prob > F          = {res}    0.0006
                                                {txt}R-squared         = {res}    0.0357
                                                {txt}Root MSE          =    {res} .42828

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     extremism_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2193613{col 32}{space 2} .0814441{col 43}{space 1}    2.69{col 52}{space 3}0.012{col 60}{space 4} .0522518{col 73}{space 3} .3864708
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .0115334{col 32}{space 2} .0323911{col 43}{space 1}    0.36{col 52}{space 3}0.725{col 60}{space 4}-.0549276{col 73}{space 3} .0779945
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2} .1207223{col 32}{space 2} .1565147{col 43}{space 1}    0.77{col 52}{space 3}0.447{col 60}{space 4}-.2004193{col 73}{space 3} .4418639
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0032367{col 32}{space 2}  .001133{col 43}{space 1}   -2.86{col 52}{space 3}0.008{col 60}{space 4}-.0055615{col 73}{space 3}-.0009119
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0165165{col 32}{space 2} .0027538{col 43}{space 1}   -6.00{col 52}{space 3}0.000{col 60}{space 4}-.0221668{col 73}{space 3}-.0108662
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0632307{col 32}{space 2}  .029117{col 43}{space 1}   -2.17{col 52}{space 3}0.039{col 60}{space 4}-.1229739{col 73}{space 3}-.0034875
{txt}{space 11}married {c |}{col 20}{res}{space 2} -.087279{col 32}{space 2} .0423177{col 43}{space 1}   -2.06{col 52}{space 3}0.049{col 60}{space 4}-.1741078{col 73}{space 3}-.0004502
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0150628{col 32}{space 2} .0168486{col 43}{space 1}    0.89{col 52}{space 3}0.379{col 60}{space 4}-.0195077{col 73}{space 3} .0496333
{txt}{space 14}male {c |}{col 20}{res}{space 2}  .043225{col 32}{space 2} .0292061{col 43}{space 1}    1.48{col 52}{space 3}0.150{col 60}{space 4} -.016701{col 73}{space 3}  .103151
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} -.023849{col 32}{space 2} .0274562{col 43}{space 1}   -0.87{col 52}{space 3}0.393{col 60}{space 4}-.0801844{col 73}{space 3} .0324864
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0719066{col 32}{space 2} .0529032{col 43}{space 1}    1.36{col 52}{space 3}0.185{col 60}{space 4}-.0366418{col 73}{space 3} .1804549
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0241972{col 32}{space 2} .0433799{col 43}{space 1}    0.56{col 52}{space 3}0.582{col 60}{space 4}-.0648109{col 73}{space 3} .1132053
{txt}{space 14}150  {c |}{col 20}{res}{space 2}  .045713{col 32}{space 2} .0409633{col 43}{space 1}    1.12{col 52}{space 3}0.274{col 60}{space 4}-.0383368{col 73}{space 3} .1297628
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0313298{col 32}{space 2}  .038301{col 43}{space 1}    0.82{col 52}{space 3}0.421{col 60}{space 4}-.0472573{col 73}{space 3} .1099169
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .2980186{col 32}{space 2} .1031392{col 43}{space 1}    2.89{col 52}{space 3}0.008{col 60}{space 4} .0863945{col 73}{space 3} .5096428
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,669
                                                {txt}F(14, 27)         =  {res}    17.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1181
                                                {txt}Root MSE          =    {res} .67865

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      religion_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2021852{col 32}{space 2} .1316868{col 43}{space 1}    1.54{col 52}{space 3}0.136{col 60}{space 4}-.0680137{col 73}{space 3} .4723841
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2}-.0350038{col 32}{space 2}  .044535{col 43}{space 1}   -0.79{col 52}{space 3}0.439{col 60}{space 4} -.126382{col 73}{space 3} .0563743
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2}-.0481493{col 32}{space 2}  .273123{col 43}{space 1}   -0.18{col 52}{space 3}0.861{col 60}{space 4}-.6085513{col 73}{space 3} .5122527
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0149409{col 32}{space 2} .0018402{col 43}{space 1}    8.12{col 52}{space 3}0.000{col 60}{space 4} .0111651{col 73}{space 3} .0187167
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0209926{col 32}{space 2} .0078025{col 43}{space 1}    2.69{col 52}{space 3}0.012{col 60}{space 4} .0049831{col 73}{space 3}  .037002
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .1691602{col 32}{space 2} .0540634{col 43}{space 1}    3.13{col 52}{space 3}0.004{col 60}{space 4} .0582313{col 73}{space 3} .2800892
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0883532{col 32}{space 2} .0708485{col 43}{space 1}   -1.25{col 52}{space 3}0.223{col 60}{space 4}-.2337223{col 73}{space 3} .0570159
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0140797{col 32}{space 2} .0258765{col 43}{space 1}    0.54{col 52}{space 3}0.591{col 60}{space 4}-.0390146{col 73}{space 3} .0671739
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1883163{col 32}{space 2} .0670927{col 43}{space 1}    2.81{col 52}{space 3}0.009{col 60}{space 4} .0506534{col 73}{space 3} .3259792
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0591993{col 32}{space 2} .0593976{col 43}{space 1}    1.00{col 52}{space 3}0.328{col 60}{space 4}-.0626744{col 73}{space 3} .1810731
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1928093{col 32}{space 2}  .106728{col 43}{space 1}    1.81{col 52}{space 3}0.082{col 60}{space 4}-.0261785{col 73}{space 3} .4117971
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .2233188{col 32}{space 2} .1259113{col 43}{space 1}    1.77{col 52}{space 3}0.087{col 60}{space 4}-.0350297{col 73}{space 3} .4816674
{txt}{space 14}150  {c |}{col 20}{res}{space 2}  .058232{col 32}{space 2} .1062594{col 43}{space 1}    0.55{col 52}{space 3}0.588{col 60}{space 4}-.1597943{col 73}{space 3} .2762583
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .1531441{col 32}{space 2} .1108862{col 43}{space 1}    1.38{col 52}{space 3}0.179{col 60}{space 4}-.0743756{col 73}{space 3} .3806637
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.212254{col 32}{space 2}  .190825{col 43}{space 1}   -6.35{col 52}{space 3}0.000{col 60}{space 4}-1.603795{col 73}{space 3}-.8207138
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,668
                                                {txt}F(14, 27)         =  {res}     4.43
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.0269
                                                {txt}Root MSE          =    {res}  .6529

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    ideo_ed_gender{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}    .3307{col 32}{space 2} .1010194{col 43}{space 1}    3.27{col 52}{space 3}0.003{col 60}{space 4} .1234253{col 73}{space 3} .5379747
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .0257896{col 32}{space 2} .0478861{col 43}{space 1}    0.54{col 52}{space 3}0.595{col 60}{space 4}-.0724646{col 73}{space 3} .1240438
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2} .0738447{col 32}{space 2} .2099196{col 43}{space 1}    0.35{col 52}{space 3}0.728{col 60}{space 4}-.3568747{col 73}{space 3}  .504564
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0003644{col 32}{space 2} .0011007{col 43}{space 1}    0.33{col 52}{space 3}0.743{col 60}{space 4} -.001894{col 73}{space 3} .0026227
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0196838{col 32}{space 2} .0049706{col 43}{space 1}   -3.96{col 52}{space 3}0.000{col 60}{space 4}-.0298827{col 73}{space 3}-.0094849
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .0213898{col 32}{space 2} .0388537{col 43}{space 1}    0.55{col 52}{space 3}0.586{col 60}{space 4}-.0583314{col 73}{space 3}  .101111
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0503118{col 32}{space 2} .0391219{col 43}{space 1}   -1.29{col 52}{space 3}0.209{col 60}{space 4}-.1305833{col 73}{space 3} .0299598
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0232464{col 32}{space 2} .0239133{col 43}{space 1}    0.97{col 52}{space 3}0.340{col 60}{space 4}-.0258198{col 73}{space 3} .0723125
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0325931{col 32}{space 2} .0398809{col 43}{space 1}    0.82{col 52}{space 3}0.421{col 60}{space 4}-.0492357{col 73}{space 3} .1144219
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0060674{col 32}{space 2} .0456797{col 43}{space 1}    0.13{col 52}{space 3}0.895{col 60}{space 4}-.0876596{col 73}{space 3} .0997944
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .082844{col 32}{space 2}  .090278{col 43}{space 1}    0.92{col 52}{space 3}0.367{col 60}{space 4}-.1023912{col 73}{space 3} .2680792
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0503134{col 32}{space 2} .0712929{col 43}{space 1}    0.71{col 52}{space 3}0.486{col 60}{space 4}-.0959675{col 73}{space 3} .1965943
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0614769{col 32}{space 2} .0693831{col 43}{space 1}   -0.89{col 52}{space 3}0.383{col 60}{space 4}-.2038392{col 73}{space 3} .0808853
{txt}{space 14}180  {c |}{col 20}{res}{space 2}  .057521{col 32}{space 2} .0745968{col 43}{space 1}    0.77{col 52}{space 3}0.447{col 60}{space 4} -.095539{col 73}{space 3}  .210581
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.789331{col 32}{space 2} .1272782{col 43}{space 1}   21.92{col 52}{space 3}0.000{col 60}{space 4} 2.528178{col 73}{space 3} 3.050485
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,668
                                                {txt}F(14, 27)         =  {res}     5.42
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0277
                                                {txt}Root MSE          =    {res}  .6044

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_husbands{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3683928{col 32}{space 2} .1357008{col 43}{space 1}    2.71{col 52}{space 3}0.011{col 60}{space 4} .0899579{col 73}{space 3} .6468278
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2}  .013816{col 32}{space 2} .0401075{col 43}{space 1}    0.34{col 52}{space 3}0.733{col 60}{space 4}-.0684778{col 73}{space 3} .0961097
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2} .0379207{col 32}{space 2} .2067896{col 43}{space 1}    0.18{col 52}{space 3}0.856{col 60}{space 4}-.3863766{col 73}{space 3} .4622179
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0035565{col 32}{space 2} .0017759{col 43}{space 1}   -2.00{col 52}{space 3}0.055{col 60}{space 4}-.0072004{col 73}{space 3} .0000873
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} -.012969{col 32}{space 2} .0050913{col 43}{space 1}   -2.55{col 52}{space 3}0.017{col 60}{space 4}-.0234155{col 73}{space 3}-.0025225
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0188003{col 32}{space 2} .0354206{col 43}{space 1}   -0.53{col 52}{space 3}0.600{col 60}{space 4}-.0914773{col 73}{space 3} .0538767
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0475486{col 32}{space 2} .0459004{col 43}{space 1}    1.04{col 52}{space 3}0.309{col 60}{space 4}-.0466313{col 73}{space 3} .1417285
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0056845{col 32}{space 2} .0238259{col 43}{space 1}    0.24{col 52}{space 3}0.813{col 60}{space 4}-.0432022{col 73}{space 3} .0545712
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1517232{col 32}{space 2} .0344948{col 43}{space 1}    4.40{col 52}{space 3}0.000{col 60}{space 4} .0809457{col 73}{space 3} .2225007
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0561919{col 32}{space 2} .0281419{col 43}{space 1}    2.00{col 52}{space 3}0.056{col 60}{space 4}-.0015504{col 73}{space 3} .1139343
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0859581{col 32}{space 2} .0522992{col 43}{space 1}   -1.64{col 52}{space 3}0.112{col 60}{space 4}-.1932672{col 73}{space 3}  .021351
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.0799066{col 32}{space 2} .0409498{col 43}{space 1}   -1.95{col 52}{space 3}0.061{col 60}{space 4}-.1639287{col 73}{space 3} .0041155
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0535181{col 32}{space 2} .0347019{col 43}{space 1}   -1.54{col 52}{space 3}0.135{col 60}{space 4}-.1247206{col 73}{space 3} .0176844
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0177296{col 32}{space 2}  .049435{col 43}{space 1}    0.36{col 52}{space 3}0.723{col 60}{space 4}-.0837026{col 73}{space 3} .1191618
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.973724{col 32}{space 2} .1289799{col 43}{space 1}   23.06{col 52}{space 3}0.000{col 60}{space 4}  2.70908{col 73}{space 3} 3.238369
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,665
                                                {txt}F(14, 27)         =  {res}    15.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0314
                                                {txt}Root MSE          =    {res}  .5238

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       ideo_takfir{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}  .019366{col 32}{space 2} .0583067{col 43}{space 1}    0.33{col 52}{space 3}0.742{col 60}{space 4}-.1002695{col 73}{space 3} .1390014
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .0363285{col 32}{space 2}  .036762{col 43}{space 1}    0.99{col 52}{space 3}0.332{col 60}{space 4} -.039101{col 73}{space 3} .1117579
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2}-.0485592{col 32}{space 2} .1704252{col 43}{space 1}   -0.28{col 52}{space 3}0.778{col 60}{space 4}-.3982429{col 73}{space 3} .3011245
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0013175{col 32}{space 2}  .001418{col 43}{space 1}   -0.93{col 52}{space 3}0.361{col 60}{space 4}-.0042269{col 73}{space 3} .0015919
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0124617{col 32}{space 2} .0049767{col 43}{space 1}   -2.50{col 52}{space 3}0.019{col 60}{space 4}-.0226731{col 73}{space 3}-.0022503
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0508195{col 32}{space 2} .0317116{col 43}{space 1}   -1.60{col 52}{space 3}0.121{col 60}{space 4}-.1158863{col 73}{space 3} .0142472
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1325226{col 32}{space 2} .0368044{col 43}{space 1}   -3.60{col 52}{space 3}0.001{col 60}{space 4}-.2080391{col 73}{space 3}-.0570062
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0368943{col 32}{space 2} .0216503{col 43}{space 1}    1.70{col 52}{space 3}0.100{col 60}{space 4}-.0075285{col 73}{space 3} .0813171
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0110166{col 32}{space 2} .0329677{col 43}{space 1}    0.33{col 52}{space 3}0.741{col 60}{space 4}-.0566276{col 73}{space 3} .0786607
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0808672{col 32}{space 2} .0342726{col 43}{space 1}   -2.36{col 52}{space 3}0.026{col 60}{space 4}-.1511887{col 73}{space 3}-.0105456
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0447208{col 32}{space 2} .0752163{col 43}{space 1}   -0.59{col 52}{space 3}0.557{col 60}{space 4}-.1990519{col 73}{space 3} .1096103
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0660587{col 32}{space 2} .0367382{col 43}{space 1}    1.80{col 52}{space 3}0.083{col 60}{space 4} -.009322{col 73}{space 3} .1414393
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1119772{col 32}{space 2} .0638469{col 43}{space 1}    1.75{col 52}{space 3}0.091{col 60}{space 4}-.0190259{col 73}{space 3} .2429802
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0880626{col 32}{space 2} .0616752{col 43}{space 1}    1.43{col 52}{space 3}0.165{col 60}{space 4}-.0384844{col 73}{space 3} .2146097
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.250261{col 32}{space 2} .1258096{col 43}{space 1}   17.89{col 52}{space 3}0.000{col 60}{space 4} 1.992121{col 73}{space 3} 2.508401
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,661
                                                {txt}F(14, 27)         =  {res}    11.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0610
                                                {txt}Root MSE          =    {res} .59021

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_violence{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3034873{col 32}{space 2} .1266919{col 43}{space 1}    2.40{col 52}{space 3}0.024{col 60}{space 4} .0435369{col 73}{space 3} .5634377
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .1265606{col 32}{space 2} .0456686{col 43}{space 1}    2.77{col 52}{space 3}0.010{col 60}{space 4} .0328564{col 73}{space 3} .2202647
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2} .2214059{col 32}{space 2} .2680327{col 43}{space 1}    0.83{col 52}{space 3}0.416{col 60}{space 4}-.3285517{col 73}{space 3} .7713635
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0032315{col 32}{space 2} .0018212{col 43}{space 1}   -1.77{col 52}{space 3}0.087{col 60}{space 4}-.0069683{col 73}{space 3} .0005053
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0285322{col 32}{space 2} .0053273{col 43}{space 1}   -5.36{col 52}{space 3}0.000{col 60}{space 4} -.039463{col 73}{space 3}-.0176014
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0697532{col 32}{space 2} .0418118{col 43}{space 1}   -1.67{col 52}{space 3}0.107{col 60}{space 4}-.1555439{col 73}{space 3} .0160375
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0754717{col 32}{space 2} .0475705{col 43}{space 1}   -1.59{col 52}{space 3}0.124{col 60}{space 4}-.1730784{col 73}{space 3}  .022135
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0052306{col 32}{space 2} .0214761{col 43}{space 1}    0.24{col 52}{space 3}0.809{col 60}{space 4}-.0388348{col 73}{space 3} .0492959
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0274471{col 32}{space 2} .0430423{col 43}{space 1}   -0.64{col 52}{space 3}0.529{col 60}{space 4}-.1157626{col 73}{space 3} .0608683
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0798697{col 32}{space 2} .0469483{col 43}{space 1}   -1.70{col 52}{space 3}0.100{col 60}{space 4}-.1761997{col 73}{space 3} .0164602
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .123098{col 32}{space 2} .0812202{col 43}{space 1}    1.52{col 52}{space 3}0.141{col 60}{space 4} -.043552{col 73}{space 3}  .289748
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0471085{col 32}{space 2} .0649895{col 43}{space 1}    0.72{col 52}{space 3}0.475{col 60}{space 4}-.0862388{col 73}{space 3} .1804559
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0153672{col 32}{space 2} .0591284{col 43}{space 1}    0.26{col 52}{space 3}0.797{col 60}{space 4}-.1059543{col 73}{space 3} .1366886
{txt}{space 14}180  {c |}{col 20}{res}{space 2} -.096171{col 32}{space 2} .1003666{col 43}{space 1}   -0.96{col 52}{space 3}0.346{col 60}{space 4}-.3021062{col 73}{space 3} .1097642
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.461207{col 32}{space 2} .1615569{col 43}{space 1}   15.23{col 52}{space 3}0.000{col 60}{space 4}  2.12972{col 73}{space 3} 2.792695
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,661
                                                {txt}F(14, 27)         =  {res}     8.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0177
                                                {txt}Root MSE          =    {res}  .5785

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      ideo_clerics{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1524346{col 32}{space 2} .0737897{col 43}{space 1}    2.07{col 52}{space 3}0.049{col 60}{space 4} .0010306{col 73}{space 3} .3038385
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2}  .016854{col 32}{space 2} .0470299{col 43}{space 1}    0.36{col 52}{space 3}0.723{col 60}{space 4}-.0796435{col 73}{space 3} .1133515
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2}-.3055601{col 32}{space 2} .2146859{col 43}{space 1}   -1.42{col 52}{space 3}0.166{col 60}{space 4}-.7460592{col 73}{space 3}  .134939
{txt}{space 15}age {c |}{col 20}{res}{space 2}  .002136{col 32}{space 2} .0011621{col 43}{space 1}    1.84{col 52}{space 3}0.077{col 60}{space 4}-.0002485{col 73}{space 3} .0045204
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0060198{col 32}{space 2}  .003452{col 43}{space 1}    1.74{col 52}{space 3}0.093{col 60}{space 4}-.0010631{col 73}{space 3} .0131027
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0484364{col 32}{space 2} .0353566{col 43}{space 1}   -1.37{col 52}{space 3}0.182{col 60}{space 4}-.1209822{col 73}{space 3} .0241094
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0006659{col 32}{space 2}  .043623{col 43}{space 1}   -0.02{col 52}{space 3}0.988{col 60}{space 4} -.090173{col 73}{space 3} .0888411
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0311524{col 32}{space 2} .0229511{col 43}{space 1}    1.36{col 52}{space 3}0.186{col 60}{space 4}-.0159394{col 73}{space 3} .0782442
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1125876{col 32}{space 2} .0404733{col 43}{space 1}    2.78{col 52}{space 3}0.010{col 60}{space 4} .0295431{col 73}{space 3}  .195632
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0150842{col 32}{space 2} .0328274{col 43}{space 1}    0.46{col 52}{space 3}0.650{col 60}{space 4}-.0522721{col 73}{space 3} .0824405
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.1519924{col 32}{space 2}  .044227{col 43}{space 1}   -3.44{col 52}{space 3}0.002{col 60}{space 4}-.2427386{col 73}{space 3}-.0612461
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.1147819{col 32}{space 2} .0525969{col 43}{space 1}   -2.18{col 52}{space 3}0.038{col 60}{space 4}-.2227019{col 73}{space 3} -.006862
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0678672{col 32}{space 2} .0517911{col 43}{space 1}   -1.31{col 52}{space 3}0.201{col 60}{space 4}-.1741337{col 73}{space 3} .0383994
{txt}{space 14}180  {c |}{col 20}{res}{space 2} -.073461{col 32}{space 2} .0546377{col 43}{space 1}   -1.34{col 52}{space 3}0.190{col 60}{space 4}-.1855683{col 73}{space 3} .0386464
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.599268{col 32}{space 2} .0831779{col 43}{space 1}   31.25{col 52}{space 3}0.000{col 60}{space 4} 2.428601{col 73}{space 3} 2.769935
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}     1,647
                                                {txt}F(14, 27)         =  {res}    11.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0226
                                                {txt}Root MSE          =    {res} .63593

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_interest{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.1463667{col 32}{space 2} .1270129{col 43}{space 1}   -1.15{col 52}{space 3}0.259{col 60}{space 4}-.4069757{col 73}{space 3} .1142423
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2}-.0573909{col 32}{space 2} .0482966{col 43}{space 1}   -1.19{col 52}{space 3}0.245{col 60}{space 4}-.1564874{col 73}{space 3} .0417056
{txt}{space 9}egaldem20 {c |}{col 20}{res}{space 2} .2322144{col 32}{space 2}  .171773{col 43}{space 1}    1.35{col 52}{space 3}0.188{col 60}{space 4}-.1202348{col 73}{space 3} .5846635
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0048267{col 32}{space 2} .0015215{col 43}{space 1}   -3.17{col 52}{space 3}0.004{col 60}{space 4}-.0079486{col 73}{space 3}-.0017048
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0029726{col 32}{space 2} .0053173{col 43}{space 1}    0.56{col 52}{space 3}0.581{col 60}{space 4}-.0079376{col 73}{space 3} .0138828
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0280353{col 32}{space 2} .0439721{col 43}{space 1}   -0.64{col 52}{space 3}0.529{col 60}{space 4}-.1182587{col 73}{space 3} .0621881
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0041007{col 32}{space 2} .0544092{col 43}{space 1}    0.08{col 52}{space 3}0.940{col 60}{space 4}-.1075377{col 73}{space 3} .1157391
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2}-.0008767{col 32}{space 2} .0214789{col 43}{space 1}   -0.04{col 52}{space 3}0.968{col 60}{space 4}-.0449477{col 73}{space 3} .0431943
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0167582{col 32}{space 2} .0338274{col 43}{space 1}   -0.50{col 52}{space 3}0.624{col 60}{space 4}-.0861662{col 73}{space 3} .0526499
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0002812{col 32}{space 2} .0322711{col 43}{space 1}    0.01{col 52}{space 3}0.993{col 60}{space 4}-.0659335{col 73}{space 3}  .066496
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1653653{col 32}{space 2} .0550108{col 43}{space 1}    3.01{col 52}{space 3}0.006{col 60}{space 4} .0524924{col 73}{space 3} .2782381
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0952505{col 32}{space 2} .0492541{col 43}{space 1}    1.93{col 52}{space 3}0.064{col 60}{space 4}-.0058105{col 73}{space 3} .1963116
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0992674{col 32}{space 2}   .05661{col 43}{space 1}    1.75{col 52}{space 3}0.091{col 60}{space 4}-.0168866{col 73}{space 3} .2154215
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0025889{col 32}{space 2} .0427792{col 43}{space 1}   -0.06{col 52}{space 3}0.952{col 60}{space 4}-.0903644{col 73}{space 3} .0851867
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.840588{col 32}{space 2} .1101997{col 43}{space 1}   25.78{col 52}{space 3}0.000{col 60}{space 4} 2.614477{col 73}{space 3} 3.066699
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}.         esttab using "IND22_3compare_egaldem.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("Fundament." "Relig. Behav." "Edu. Men" "Husbands" "Takfir" "Violence" "Clerics" "Interest") label keep(consider_migrat_nm never_migrate egaldem20 age education_years hh_employed_ft married econ_sat male bystander) title(Effects of host-country liberalism on returned migrants' attitudes \label{c -(}tab:3compareegaldem{c )-}) note(OLS with village-clustered SE in parentheses. Includes village fixed effects.) replace
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_3compare_egaldem.tex"'})

{com}. 
. coefplot (extremism_idx_egaldem, nokey), bylabel(Fundamentalism (index)) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (religion_idx_egaldem, nokey), bylabel(Relig. behav. (index)) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_ed_gender_egaldem, nokey), bylabel(Education for men) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_husbands_egaldem, nokey), bylabel(Husbands final say) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_takfir_egaldem, nokey), bylabel(Takfir) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_violence_egaldem, nokey), bylabel(Violence permitted) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_clerics_egaldem, nokey), bylabel(Clerics inf. gov.) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_interest_egaldem, nokey), bylabel(Interest forbidden) keep(consider_migrat_nm never_migrate egaldem20) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) byopts(row(4)) xsize(5.5) 
{res}{txt}
{com}. 
. 
. **Heterogeneous effects on gender (referenced in main text)
. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest pol_parl_open pol_parl_islam pol_sharia pol_secular {c -(}
{txt}  2{com}.         eststo: reg `outcome' consider_migrat_nm never_migrate##male age education_years hh_employed_ft married econ_sat bystander i.district, cl(location)
{txt}  3{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,601
                                                {txt}F(14, 27)         =  {res}     3.71
                                                {txt}Prob > F          = {res}    0.0017
                                                {txt}R-squared         = {res}    0.0362
                                                {txt}Root MSE          =    {res}  .4286

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     extremism_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2152756{col 32}{space 2} .0824191{col 43}{space 1}    2.61{col 52}{space 3}0.015{col 60}{space 4} .0461655{col 73}{space 3} .3843857
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0506986{col 32}{space 2} .0485829{col 43}{space 1}    1.04{col 52}{space 3}0.306{col 60}{space 4}-.0489852{col 73}{space 3} .1503825
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .0836772{col 32}{space 2} .0626946{col 43}{space 1}    1.33{col 52}{space 3}0.193{col 60}{space 4}-.0449615{col 73}{space 3} .2123158
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} -.054035{col 32}{space 2} .0645673{col 43}{space 1}   -0.84{col 52}{space 3}0.410{col 60}{space 4}-.1865161{col 73}{space 3}  .078446
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2} -.003317{col 32}{space 2} .0010994{col 43}{space 1}   -3.02{col 52}{space 3}0.006{col 60}{space 4}-.0055728{col 73}{space 3}-.0010612
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0163302{col 32}{space 2} .0027641{col 43}{space 1}   -5.91{col 52}{space 3}0.000{col 60}{space 4}-.0220016{col 73}{space 3}-.0106587
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0654307{col 32}{space 2} .0286387{col 43}{space 1}   -2.28{col 52}{space 3}0.030{col 60}{space 4}-.1241923{col 73}{space 3} -.006669
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0864964{col 32}{space 2} .0418975{col 43}{space 1}   -2.06{col 52}{space 3}0.049{col 60}{space 4}-.1724629{col 73}{space 3}  -.00053
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0144096{col 32}{space 2} .0177182{col 43}{space 1}    0.81{col 52}{space 3}0.423{col 60}{space 4}-.0219452{col 73}{space 3} .0507644
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0268629{col 32}{space 2}  .027605{col 43}{space 1}   -0.97{col 52}{space 3}0.339{col 60}{space 4}-.0835036{col 73}{space 3} .0297778
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0723537{col 32}{space 2}  .051954{col 43}{space 1}    1.39{col 52}{space 3}0.175{col 60}{space 4}-.0342471{col 73}{space 3} .1789544
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0202445{col 32}{space 2} .0420791{col 43}{space 1}    0.48{col 52}{space 3}0.634{col 60}{space 4}-.0660946{col 73}{space 3} .1065836
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0470394{col 32}{space 2} .0405185{col 43}{space 1}    1.16{col 52}{space 3}0.256{col 60}{space 4}-.0360977{col 73}{space 3} .1301764
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0326374{col 32}{space 2} .0378081{col 43}{space 1}    0.86{col 52}{space 3}0.396{col 60}{space 4}-.0449384{col 73}{space 3} .1102131
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .2763579{col 32}{space 2} .1134359{col 43}{space 1}    2.44{col 52}{space 3}0.022{col 60}{space 4} .0436066{col 73}{space 3} .5091092
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,675
                                                {txt}F(14, 27)         =  {res}    17.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1196
                                                {txt}Root MSE          =    {res} .67795

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      religion_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}   .17338{col 32}{space 2} .1207097{col 43}{space 1}    1.44{col 52}{space 3}0.162{col 60}{space 4}-.0742958{col 73}{space 3} .4210558
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0259576{col 32}{space 2} .0804835{col 43}{space 1}    0.32{col 52}{space 3}0.750{col 60}{space 4}-.1391809{col 73}{space 3}  .191096
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .2833284{col 32}{space 2} .0699612{col 43}{space 1}    4.05{col 52}{space 3}0.000{col 60}{space 4} .1397799{col 73}{space 3} .4268768
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.1199968{col 32}{space 2} .0951713{col 43}{space 1}   -1.26{col 52}{space 3}0.218{col 60}{space 4}-.3152721{col 73}{space 3} .0752786
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2} .0150839{col 32}{space 2} .0019095{col 43}{space 1}    7.90{col 52}{space 3}0.000{col 60}{space 4}  .011166{col 73}{space 3} .0190018
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0210035{col 32}{space 2} .0077517{col 43}{space 1}    2.71{col 52}{space 3}0.012{col 60}{space 4} .0050982{col 73}{space 3} .0369087
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .1661849{col 32}{space 2} .0537742{col 43}{space 1}    3.09{col 52}{space 3}0.005{col 60}{space 4} .0558494{col 73}{space 3} .2765205
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0813621{col 32}{space 2} .0701784{col 43}{space 1}   -1.16{col 52}{space 3}0.256{col 60}{space 4}-.2253562{col 73}{space 3}  .062632
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0144014{col 32}{space 2} .0254054{col 43}{space 1}    0.57{col 52}{space 3}0.575{col 60}{space 4}-.0377262{col 73}{space 3} .0665291
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0589013{col 32}{space 2} .0589179{col 43}{space 1}    1.00{col 52}{space 3}0.326{col 60}{space 4}-.0619883{col 73}{space 3} .1797908
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .192224{col 32}{space 2} .1061623{col 43}{space 1}    1.81{col 52}{space 3}0.081{col 60}{space 4} -.025603{col 73}{space 3}  .410051
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .2249058{col 32}{space 2}  .123871{col 43}{space 1}    1.82{col 52}{space 3}0.081{col 60}{space 4}-.0292565{col 73}{space 3}  .479068
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0620935{col 32}{space 2} .1059543{col 43}{space 1}    0.59{col 52}{space 3}0.563{col 60}{space 4}-.1553066{col 73}{space 3} .2794937
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .1511691{col 32}{space 2} .1114513{col 43}{space 1}    1.36{col 52}{space 3}0.186{col 60}{space 4}-.0775102{col 73}{space 3} .3798483
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.267549{col 32}{space 2}  .200868{col 43}{space 1}   -6.31{col 52}{space 3}0.000{col 60}{space 4}-1.679696{col 73}{space 3}-.8554022
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(14, 27)         =  {res}     5.54
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0272
                                                {txt}Root MSE          =    {res} .65273

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    ideo_ed_gender{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3352035{col 32}{space 2} .1004527{col 43}{space 1}    3.34{col 52}{space 3}0.002{col 60}{space 4} .1290916{col 73}{space 3} .5413154
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0524736{col 32}{space 2} .0607981{col 43}{space 1}    0.86{col 52}{space 3}0.396{col 60}{space 4}-.0722739{col 73}{space 3}  .177221
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .0538022{col 32}{space 2}  .080713{col 43}{space 1}    0.67{col 52}{space 3}0.511{col 60}{space 4}-.1118071{col 73}{space 3} .2194115
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.0293387{col 32}{space 2} .0707466{col 43}{space 1}   -0.41{col 52}{space 3}0.682{col 60}{space 4}-.1744987{col 73}{space 3} .1158214
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2} .0003164{col 32}{space 2}    .0011{col 43}{space 1}    0.29{col 52}{space 3}0.776{col 60}{space 4}-.0019407{col 73}{space 3} .0025735
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0197932{col 32}{space 2} .0049931{col 43}{space 1}   -3.96{col 52}{space 3}0.000{col 60}{space 4}-.0300382{col 73}{space 3}-.0095483
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .0177713{col 32}{space 2} .0387323{col 43}{space 1}    0.46{col 52}{space 3}0.650{col 60}{space 4}-.0617009{col 73}{space 3} .0972435
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0457111{col 32}{space 2} .0372915{col 43}{space 1}   -1.23{col 52}{space 3}0.231{col 60}{space 4} -.122227{col 73}{space 3} .0308047
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0240448{col 32}{space 2} .0243234{col 43}{space 1}    0.99{col 52}{space 3}0.332{col 60}{space 4}-.0258626{col 73}{space 3} .0739522
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0021129{col 32}{space 2} .0457435{col 43}{space 1}    0.05{col 52}{space 3}0.963{col 60}{space 4}-.0917451{col 73}{space 3} .0959708
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0853118{col 32}{space 2} .0910547{col 43}{space 1}    0.94{col 52}{space 3}0.357{col 60}{space 4} -.101517{col 73}{space 3} .2721406
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0490736{col 32}{space 2} .0712344{col 43}{space 1}    0.69{col 52}{space 3}0.497{col 60}{space 4}-.0970872{col 73}{space 3} .1952344
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0580573{col 32}{space 2} .0700858{col 43}{space 1}   -0.83{col 52}{space 3}0.415{col 60}{space 4}-.2018614{col 73}{space 3} .0857469
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0611962{col 32}{space 2} .0756077{col 43}{space 1}    0.81{col 52}{space 3}0.425{col 60}{space 4}-.0939379{col 73}{space 3} .2163303
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.769723{col 32}{space 2} .1358896{col 43}{space 1}   20.38{col 52}{space 3}0.000{col 60}{space 4} 2.490901{col 73}{space 3} 3.048546
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(14, 27)         =  {res}     5.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0278
                                                {txt}Root MSE          =    {res} .60443

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_husbands{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3666473{col 32}{space 2} .1377525{col 43}{space 1}    2.66{col 52}{space 3}0.013{col 60}{space 4} .0840024{col 73}{space 3} .6492922
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0524452{col 32}{space 2} .0699604{col 43}{space 1}    0.75{col 52}{space 3}0.460{col 60}{space 4}-.0911017{col 73}{space 3} .1959921
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .1878012{col 32}{space 2} .0726992{col 43}{space 1}    2.58{col 52}{space 3}0.016{col 60}{space 4} .0386347{col 73}{space 3} .3369676
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.0505724{col 32}{space 2} .0807392{col 43}{space 1}   -0.63{col 52}{space 3}0.536{col 60}{space 4}-.2162357{col 73}{space 3} .1150908
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2}-.0036151{col 32}{space 2} .0017511{col 43}{space 1}   -2.06{col 52}{space 3}0.049{col 60}{space 4} -.007208{col 73}{space 3}-.0000221
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0128611{col 32}{space 2} .0050836{col 43}{space 1}   -2.53{col 52}{space 3}0.018{col 60}{space 4}-.0232917{col 73}{space 3}-.0024304
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0189932{col 32}{space 2} .0367119{col 43}{space 1}   -0.52{col 52}{space 3}0.609{col 60}{space 4}-.0943198{col 73}{space 3} .0563334
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0479373{col 32}{space 2}  .046301{col 43}{space 1}    1.04{col 52}{space 3}0.310{col 60}{space 4}-.0470645{col 73}{space 3} .1429391
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0040069{col 32}{space 2}  .023795{col 43}{space 1}    0.17{col 52}{space 3}0.868{col 60}{space 4}-.0448163{col 73}{space 3} .0528302
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0525746{col 32}{space 2} .0279999{col 43}{space 1}    1.88{col 52}{space 3}0.071{col 60}{space 4}-.0048764{col 73}{space 3} .1100256
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0845722{col 32}{space 2} .0514691{col 43}{space 1}   -1.64{col 52}{space 3}0.112{col 60}{space 4} -.190178{col 73}{space 3} .0210337
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.0836112{col 32}{space 2}  .039753{col 43}{space 1}   -2.10{col 52}{space 3}0.045{col 60}{space 4}-.1651777{col 73}{space 3}-.0020447
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0527006{col 32}{space 2} .0337157{col 43}{space 1}   -1.56{col 52}{space 3}0.130{col 60}{space 4}-.1218794{col 73}{space 3} .0164783
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0196086{col 32}{space 2} .0500224{col 43}{space 1}    0.39{col 52}{space 3}0.698{col 60}{space 4}-.0830289{col 73}{space 3} .1222462
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.954328{col 32}{space 2} .1365436{col 43}{space 1}   21.64{col 52}{space 3}0.000{col 60}{space 4} 2.674164{col 73}{space 3} 3.234493
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,671
                                                {txt}F(14, 27)         =  {res}     5.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0322
                                                {txt}Root MSE          =    {res} .52311

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       ideo_takfir{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .0017944{col 32}{space 2} .0624828{col 43}{space 1}    0.03{col 52}{space 3}0.977{col 60}{space 4}-.1264097{col 73}{space 3} .1299984
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0748526{col 32}{space 2} .0435283{col 43}{space 1}    1.72{col 52}{space 3}0.097{col 60}{space 4}  -.01446{col 73}{space 3} .1641652
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .0683816{col 32}{space 2}  .050772{col 43}{space 1}    1.35{col 52}{space 3}0.189{col 60}{space 4} -.035794{col 73}{space 3} .1725571
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.0735579{col 32}{space 2}  .052045{col 43}{space 1}   -1.41{col 52}{space 3}0.169{col 60}{space 4}-.1803454{col 73}{space 3} .0332297
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2}-.0012838{col 32}{space 2} .0013637{col 43}{space 1}   -0.94{col 52}{space 3}0.355{col 60}{space 4}-.0040818{col 73}{space 3} .0015143
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0124885{col 32}{space 2} .0049728{col 43}{space 1}   -2.51{col 52}{space 3}0.018{col 60}{space 4}-.0226918{col 73}{space 3}-.0022852
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0518106{col 32}{space 2} .0310681{col 43}{space 1}   -1.67{col 52}{space 3}0.107{col 60}{space 4}-.1155571{col 73}{space 3} .0119358
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1296377{col 32}{space 2} .0361849{col 43}{space 1}   -3.58{col 52}{space 3}0.001{col 60}{space 4} -.203883{col 73}{space 3}-.0553925
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0366029{col 32}{space 2} .0221477{col 43}{space 1}    1.65{col 52}{space 3}0.110{col 60}{space 4}-.0088405{col 73}{space 3} .0820462
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0833916{col 32}{space 2} .0347188{col 43}{space 1}   -2.40{col 52}{space 3}0.023{col 60}{space 4}-.1546287{col 73}{space 3}-.0121546
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0446922{col 32}{space 2} .0750521{col 43}{space 1}   -0.60{col 52}{space 3}0.556{col 60}{space 4}-.1986864{col 73}{space 3}  .109302
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0682722{col 32}{space 2} .0364326{col 43}{space 1}    1.87{col 52}{space 3}0.072{col 60}{space 4}-.0064814{col 73}{space 3} .1430258
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1126701{col 32}{space 2} .0642107{col 43}{space 1}    1.75{col 52}{space 3}0.091{col 60}{space 4}-.0190793{col 73}{space 3} .2444195
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0876652{col 32}{space 2} .0618153{col 43}{space 1}    1.42{col 52}{space 3}0.168{col 60}{space 4}-.0391694{col 73}{space 3} .2144998
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.222047{col 32}{space 2} .1199231{col 43}{space 1}   18.53{col 52}{space 3}0.000{col 60}{space 4} 1.975986{col 73}{space 3} 2.468109
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(14, 27)         =  {res}    10.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0604
                                                {txt}Root MSE          =    {res} .59265

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_violence{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}  .308964{col 32}{space 2} .1313166{col 43}{space 1}    2.35{col 52}{space 3}0.026{col 60}{space 4} .0395245{col 73}{space 3} .5784035
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0868821{col 32}{space 2} .0626475{col 43}{space 1}    1.39{col 52}{space 3}0.177{col 60}{space 4}  -.04166{col 73}{space 3} .2154243
{txt}{space 12}1.male {c |}{col 20}{res}{space 2}-.0736614{col 32}{space 2} .0908008{col 43}{space 1}   -0.81{col 52}{space 3}0.424{col 60}{space 4}-.2599693{col 73}{space 3} .1126466
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .0681258{col 32}{space 2}  .087082{col 43}{space 1}    0.78{col 52}{space 3}0.441{col 60}{space 4}-.1105517{col 73}{space 3} .2468033
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2}-.0037386{col 32}{space 2} .0018243{col 43}{space 1}   -2.05{col 52}{space 3}0.050{col 60}{space 4}-.0074817{col 73}{space 3} 4.43e-06
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0286895{col 32}{space 2} .0052855{col 43}{space 1}   -5.43{col 52}{space 3}0.000{col 60}{space 4}-.0395345{col 73}{space 3}-.0178445
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0807384{col 32}{space 2} .0409722{col 43}{space 1}   -1.97{col 52}{space 3}0.059{col 60}{space 4}-.1648065{col 73}{space 3} .0033296
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0798117{col 32}{space 2} .0474016{col 43}{space 1}   -1.68{col 52}{space 3}0.104{col 60}{space 4}-.1770719{col 73}{space 3} .0174484
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0059999{col 32}{space 2} .0225376{col 43}{space 1}    0.27{col 52}{space 3}0.792{col 60}{space 4}-.0402434{col 73}{space 3} .0522432
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0787109{col 32}{space 2} .0489905{col 43}{space 1}   -1.61{col 52}{space 3}0.120{col 60}{space 4} -.179231{col 73}{space 3} .0218093
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .122584{col 32}{space 2} .0794849{col 43}{space 1}    1.54{col 52}{space 3}0.135{col 60}{space 4}-.0405056{col 73}{space 3} .2856736
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0447666{col 32}{space 2}  .062443{col 43}{space 1}    0.72{col 52}{space 3}0.480{col 60}{space 4}-.0833558{col 73}{space 3}  .172889
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0208884{col 32}{space 2} .0598127{col 43}{space 1}    0.35{col 52}{space 3}0.730{col 60}{space 4} -.101837{col 73}{space 3} .1436139
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0941585{col 32}{space 2} .1000447{col 43}{space 1}   -0.94{col 52}{space 3}0.355{col 60}{space 4}-.2994332{col 73}{space 3} .1111163
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.519492{col 32}{space 2} .1691223{col 43}{space 1}   14.90{col 52}{space 3}0.000{col 60}{space 4} 2.172482{col 73}{space 3} 2.866502
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(14, 27)         =  {res}    10.02
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0167
                                                {txt}Root MSE          =    {res} .57913

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      ideo_clerics{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}  .160262{col 32}{space 2} .0774696{col 43}{space 1}    2.07{col 52}{space 3}0.048{col 60}{space 4} .0013075{col 73}{space 3} .3192164
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0457989{col 32}{space 2} .0573651{col 43}{space 1}    0.80{col 52}{space 3}0.432{col 60}{space 4}-.0719046{col 73}{space 3} .1635023
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .1323286{col 32}{space 2} .0860929{col 43}{space 1}    1.54{col 52}{space 3}0.136{col 60}{space 4}-.0443194{col 73}{space 3} .3089767
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.0371852{col 32}{space 2} .0855408{col 43}{space 1}   -0.43{col 52}{space 3}0.667{col 60}{space 4}-.2127004{col 73}{space 3} .1383299
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2} .0026048{col 32}{space 2} .0011738{col 43}{space 1}    2.22{col 52}{space 3}0.035{col 60}{space 4} .0001963{col 73}{space 3} .0050133
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0061274{col 32}{space 2} .0035119{col 43}{space 1}    1.74{col 52}{space 3}0.092{col 60}{space 4}-.0010785{col 73}{space 3} .0133333
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0428568{col 32}{space 2} .0344445{col 43}{space 1}   -1.24{col 52}{space 3}0.224{col 60}{space 4}-.1135312{col 73}{space 3} .0278175
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0048319{col 32}{space 2} .0423157{col 43}{space 1}    0.11{col 52}{space 3}0.910{col 60}{space 4}-.0819928{col 73}{space 3} .0916565
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0287456{col 32}{space 2} .0227855{col 43}{space 1}    1.26{col 52}{space 3}0.218{col 60}{space 4}-.0180063{col 73}{space 3} .0754976
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0113921{col 32}{space 2} .0325508{col 43}{space 1}    0.35{col 52}{space 3}0.729{col 60}{space 4}-.0553966{col 73}{space 3} .0781809
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.1482906{col 32}{space 2} .0458585{col 43}{space 1}   -3.23{col 52}{space 3}0.003{col 60}{space 4}-.2423844{col 73}{space 3}-.0541968
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.1158166{col 32}{space 2} .0543048{col 43}{space 1}   -2.13{col 52}{space 3}0.042{col 60}{space 4}-.2272408{col 73}{space 3}-.0043923
{txt}{space 14}150  {c |}{col 20}{res}{space 2}  -.06757{col 32}{space 2} .0520959{col 43}{space 1}   -1.30{col 52}{space 3}0.206{col 60}{space 4}-.1744619{col 73}{space 3} .0393218
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0718159{col 32}{space 2} .0562307{col 43}{space 1}   -1.28{col 52}{space 3}0.212{col 60}{space 4}-.1871917{col 73}{space 3} .0435599
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.557842{col 32}{space 2} .1018672{col 43}{space 1}   25.11{col 52}{space 3}0.000{col 60}{space 4} 2.348828{col 73}{space 3} 2.766856
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}     1,653
                                                {txt}F(14, 27)         =  {res}    12.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0220
                                                {txt}Root MSE          =    {res}  .6357

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_interest{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.1277635{col 32}{space 2} .1309086{col 43}{space 1}   -0.98{col 52}{space 3}0.338{col 60}{space 4}-.3963658{col 73}{space 3} .1408388
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2}-.0868681{col 32}{space 2} .0705763{col 43}{space 1}   -1.23{col 52}{space 3}0.229{col 60}{space 4}-.2316786{col 73}{space 3} .0579424
{txt}{space 12}1.male {c |}{col 20}{res}{space 2}-.0676549{col 32}{space 2} .0911209{col 43}{space 1}   -0.74{col 52}{space 3}0.464{col 60}{space 4}-.2546196{col 73}{space 3} .1193098
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .0668192{col 32}{space 2} .1093139{col 43}{space 1}    0.61{col 52}{space 3}0.546{col 60}{space 4}-.1574743{col 73}{space 3} .2911127
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2} -.005051{col 32}{space 2} .0015288{col 43}{space 1}   -3.30{col 52}{space 3}0.003{col 60}{space 4}-.0081879{col 73}{space 3} -.001914
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}  .003021{col 32}{space 2}  .005347{col 43}{space 1}    0.56{col 52}{space 3}0.577{col 60}{space 4}-.0079502{col 73}{space 3} .0139923
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0309967{col 32}{space 2} .0434528{col 43}{space 1}   -0.71{col 52}{space 3}0.482{col 60}{space 4}-.1201546{col 73}{space 3} .0581612
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0001922{col 32}{space 2} .0550976{col 43}{space 1}   -0.00{col 52}{space 3}0.997{col 60}{space 4}-.1132431{col 73}{space 3} .1128586
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0008309{col 32}{space 2} .0216045{col 43}{space 1}    0.04{col 52}{space 3}0.970{col 60}{space 4}-.0434979{col 73}{space 3} .0451597
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-4.89e-06{col 32}{space 2}  .032015{col 43}{space 1}   -0.00{col 52}{space 3}1.000{col 60}{space 4}-.0656942{col 73}{space 3} .0656844
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .164944{col 32}{space 2} .0551865{col 43}{space 1}    2.99{col 52}{space 3}0.006{col 60}{space 4} .0517106{col 73}{space 3} .2781775
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0914033{col 32}{space 2} .0487171{col 43}{space 1}    1.88{col 52}{space 3}0.071{col 60}{space 4} -.008556{col 73}{space 3} .1913626
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0982456{col 32}{space 2} .0559859{col 43}{space 1}    1.75{col 52}{space 3}0.091{col 60}{space 4} -.016628{col 73}{space 3} .2131191
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0011178{col 32}{space 2} .0432342{col 43}{space 1}   -0.03{col 52}{space 3}0.980{col 60}{space 4} -.089827{col 73}{space 3} .0875914
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.872368{col 32}{space 2} .1286414{col 43}{space 1}   22.33{col 52}{space 3}0.000{col 60}{space 4} 2.608417{col 73}{space 3} 3.136318
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

Linear regression                               Number of obs     = {res}     1,657
                                                {txt}F(14, 27)         =  {res}     7.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0425
                                                {txt}Root MSE          =    {res} .99294

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     pol_parl_open{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2642011{col 32}{space 2} .2230864{col 43}{space 1}    1.18{col 52}{space 3}0.247{col 60}{space 4}-.1935343{col 73}{space 3} .7219365
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} -.029377{col 32}{space 2} .1148293{col 43}{space 1}   -0.26{col 52}{space 3}0.800{col 60}{space 4}-.2649872{col 73}{space 3} .2062332
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .0372551{col 32}{space 2} .1439477{col 43}{space 1}    0.26{col 52}{space 3}0.798{col 60}{space 4}-.2581011{col 73}{space 3} .3326114
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .1443883{col 32}{space 2} .1565565{col 43}{space 1}    0.92{col 52}{space 3}0.365{col 60}{space 4}-.1768391{col 73}{space 3} .4656157
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2} .0022568{col 32}{space 2} .0024839{col 43}{space 1}    0.91{col 52}{space 3}0.372{col 60}{space 4}-.0028398{col 73}{space 3} .0073534
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0290421{col 32}{space 2} .0091254{col 43}{space 1}   -3.18{col 52}{space 3}0.004{col 60}{space 4}-.0477658{col 73}{space 3}-.0103184
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0115363{col 32}{space 2} .0702709{col 43}{space 1}   -0.16{col 52}{space 3}0.871{col 60}{space 4}-.1557202{col 73}{space 3} .1326476
{txt}{space 11}married {c |}{col 20}{res}{space 2} .1261108{col 32}{space 2} .0500784{col 43}{space 1}    2.52{col 52}{space 3}0.018{col 60}{space 4} .0233584{col 73}{space 3} .2288632
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0824419{col 32}{space 2} .0326838{col 43}{space 1}    2.52{col 52}{space 3}0.018{col 60}{space 4} .0153803{col 73}{space 3} .1495034
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.1778664{col 32}{space 2} .0887828{col 43}{space 1}   -2.00{col 52}{space 3}0.055{col 60}{space 4}-.3600336{col 73}{space 3} .0043008
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.1434168{col 32}{space 2} .2079335{col 43}{space 1}   -0.69{col 52}{space 3}0.496{col 60}{space 4}-.5700612{col 73}{space 3} .2832276
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .1081167{col 32}{space 2}  .194165{col 43}{space 1}    0.56{col 52}{space 3}0.582{col 60}{space 4}-.2902769{col 73}{space 3} .5065103
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1881383{col 32}{space 2} .1778121{col 43}{space 1}    1.06{col 52}{space 3}0.299{col 60}{space 4}-.1767019{col 73}{space 3} .5529786
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0867167{col 32}{space 2} .1456362{col 43}{space 1}    0.60{col 52}{space 3}0.557{col 60}{space 4} -.212104{col 73}{space 3} .3855374
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 1.776497{col 32}{space 2} .2015839{col 43}{space 1}    8.81{col 52}{space 3}0.000{col 60}{space 4} 1.362882{col 73}{space 3} 2.190113
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est9{txt} stored)

Linear regression                               Number of obs     = {res}     1,665
                                                {txt}F(14, 27)         =  {res}    14.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1159
                                                {txt}Root MSE          =    {res} .83335

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    pol_parl_islam{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .0571434{col 32}{space 2} .1469263{col 43}{space 1}    0.39{col 52}{space 3}0.700{col 60}{space 4}-.2443245{col 73}{space 3} .3586113
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .0122499{col 32}{space 2} .0710663{col 43}{space 1}    0.17{col 52}{space 3}0.864{col 60}{space 4}-.1335661{col 73}{space 3} .1580658
{txt}{space 12}1.male {c |}{col 20}{res}{space 2}-.1789179{col 32}{space 2} .0864419{col 43}{space 1}   -2.07{col 52}{space 3}0.048{col 60}{space 4}-.3562819{col 73}{space 3}-.0015539
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}  .001742{col 32}{space 2} .1026882{col 43}{space 1}    0.02{col 52}{space 3}0.987{col 60}{space 4}-.2089568{col 73}{space 3} .2124409
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2}-.0042346{col 32}{space 2} .0025017{col 43}{space 1}   -1.69{col 52}{space 3}0.102{col 60}{space 4}-.0093676{col 73}{space 3} .0008984
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0641034{col 32}{space 2} .0059303{col 43}{space 1}  -10.81{col 52}{space 3}0.000{col 60}{space 4}-.0762714{col 73}{space 3}-.0519353
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .0266171{col 32}{space 2}  .055716{col 43}{space 1}    0.48{col 52}{space 3}0.637{col 60}{space 4}-.0877027{col 73}{space 3}  .140937
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1440796{col 32}{space 2} .0763259{col 43}{space 1}   -1.89{col 52}{space 3}0.070{col 60}{space 4}-.3006873{col 73}{space 3} .0125282
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0306355{col 32}{space 2} .0270481{col 43}{space 1}    1.13{col 52}{space 3}0.267{col 60}{space 4}-.0248626{col 73}{space 3} .0861335
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}  .061867{col 32}{space 2} .0607701{col 43}{space 1}    1.02{col 52}{space 3}0.318{col 60}{space 4} -.062823{col 73}{space 3}  .186557
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0781803{col 32}{space 2} .0860849{col 43}{space 1}   -0.91{col 52}{space 3}0.372{col 60}{space 4} -.254812{col 73}{space 3} .0984515
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.1363998{col 32}{space 2} .0943024{col 43}{space 1}   -1.45{col 52}{space 3}0.160{col 60}{space 4}-.3298923{col 73}{space 3} .0570927
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.1610027{col 32}{space 2} .0913691{col 43}{space 1}   -1.76{col 52}{space 3}0.089{col 60}{space 4}-.3484767{col 73}{space 3} .0264713
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.1870827{col 32}{space 2} .0833076{col 43}{space 1}   -2.25{col 52}{space 3}0.033{col 60}{space 4}-.3580159{col 73}{space 3}-.0161496
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.364534{col 32}{space 2} .1877881{col 43}{space 1}   12.59{col 52}{space 3}0.000{col 60}{space 4} 1.979224{col 73}{space 3} 2.749843
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est10{txt} stored)

Linear regression                               Number of obs     = {res}     1,662
                                                {txt}F(14, 27)         =  {res}     6.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0355
                                                {txt}Root MSE          =    {res} .55894

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        pol_sharia{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1006308{col 32}{space 2} .1137935{col 43}{space 1}    0.88{col 52}{space 3}0.384{col 60}{space 4}-.1328542{col 73}{space 3} .3341159
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2} .1270424{col 32}{space 2} .0378495{col 43}{space 1}    3.36{col 52}{space 3}0.002{col 60}{space 4} .0493817{col 73}{space 3} .2047031
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .0681284{col 32}{space 2} .0687949{col 43}{space 1}    0.99{col 52}{space 3}0.331{col 60}{space 4}-.0730272{col 73}{space 3}  .209284
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.1287739{col 32}{space 2} .0579594{col 43}{space 1}   -2.22{col 52}{space 3}0.035{col 60}{space 4}-.2476967{col 73}{space 3}-.0098511
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2}-.0037059{col 32}{space 2} .0013772{col 43}{space 1}   -2.69{col 52}{space 3}0.012{col 60}{space 4}-.0065318{col 73}{space 3}  -.00088
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0203049{col 32}{space 2} .0047956{col 43}{space 1}   -4.23{col 52}{space 3}0.000{col 60}{space 4}-.0301445{col 73}{space 3}-.0104652
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0210889{col 32}{space 2} .0420037{col 43}{space 1}   -0.50{col 52}{space 3}0.620{col 60}{space 4}-.1072734{col 73}{space 3} .0650956
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1176478{col 32}{space 2}  .053134{col 43}{space 1}   -2.21{col 52}{space 3}0.035{col 60}{space 4}-.2266698{col 73}{space 3}-.0086259
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0033335{col 32}{space 2} .0219082{col 43}{space 1}    0.15{col 52}{space 3}0.880{col 60}{space 4}-.0416184{col 73}{space 3} .0482854
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0458911{col 32}{space 2} .0328605{col 43}{space 1}   -1.40{col 52}{space 3}0.174{col 60}{space 4}-.1133153{col 73}{space 3} .0215332
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0709124{col 32}{space 2} .0417932{col 43}{space 1}    1.70{col 52}{space 3}0.101{col 60}{space 4}-.0148402{col 73}{space 3}  .156665
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.0072492{col 32}{space 2} .0317668{col 43}{space 1}   -0.23{col 52}{space 3}0.821{col 60}{space 4}-.0724292{col 73}{space 3} .0579309
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0998352{col 32}{space 2} .0426914{col 43}{space 1}    2.34{col 52}{space 3}0.027{col 60}{space 4} .0122398{col 73}{space 3} .1874307
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0153866{col 32}{space 2} .0327499{col 43}{space 1}   -0.47{col 52}{space 3}0.642{col 60}{space 4}-.0825838{col 73}{space 3} .0518106
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 1.516183{col 32}{space 2} .1127346{col 43}{space 1}   13.45{col 52}{space 3}0.000{col 60}{space 4}  1.28487{col 73}{space 3} 1.747495
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est11{txt} stored)

Linear regression                               Number of obs     = {res}     1,661
                                                {txt}F(14, 27)         =  {res}     6.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0597
                                                {txt}Root MSE          =    {res} .57192

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       pol_secular{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .0061719{col 32}{space 2} .0625822{col 43}{space 1}    0.10{col 52}{space 3}0.922{col 60}{space 4}-.1222361{col 73}{space 3} .1345799
{txt}{space 3}1.never_migrate {c |}{col 20}{res}{space 2}  .146828{col 32}{space 2} .0443743{col 43}{space 1}    3.31{col 52}{space 3}0.003{col 60}{space 4} .0557794{col 73}{space 3} .2378766
{txt}{space 12}1.male {c |}{col 20}{res}{space 2} .1381102{col 32}{space 2} .0740172{col 43}{space 1}    1.87{col 52}{space 3}0.073{col 60}{space 4}-.0137606{col 73}{space 3}  .289981
{txt}{space 18} {c |}
never_migrate#male {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} -.179703{col 32}{space 2}  .080851{col 43}{space 1}   -2.22{col 52}{space 3}0.035{col 60}{space 4}-.3455954{col 73}{space 3}-.0138105
{txt}{space 18} {c |}
{space 15}age {c |}{col 20}{res}{space 2} -.000876{col 32}{space 2} .0016683{col 43}{space 1}   -0.53{col 52}{space 3}0.604{col 60}{space 4}-.0042991{col 73}{space 3} .0025471
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0295025{col 32}{space 2} .0054335{col 43}{space 1}   -5.43{col 52}{space 3}0.000{col 60}{space 4}-.0406512{col 73}{space 3}-.0183539
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}  .017438{col 32}{space 2}  .026357{col 43}{space 1}    0.66{col 52}{space 3}0.514{col 60}{space 4}-.0366422{col 73}{space 3} .0715181
{txt}{space 11}married {c |}{col 20}{res}{space 2} -.123935{col 32}{space 2} .0631237{col 43}{space 1}   -1.96{col 52}{space 3}0.060{col 60}{space 4}-.2534541{col 73}{space 3} .0055841
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0306813{col 32}{space 2} .0158648{col 43}{space 1}    1.93{col 52}{space 3}0.064{col 60}{space 4}-.0018705{col 73}{space 3} .0632331
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0467343{col 32}{space 2} .0309165{col 43}{space 1}    1.51{col 52}{space 3}0.142{col 60}{space 4}-.0167011{col 73}{space 3} .1101698
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0596047{col 32}{space 2} .0524102{col 43}{space 1}    1.14{col 52}{space 3}0.265{col 60}{space 4}-.0479323{col 73}{space 3} .1671416
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0156882{col 32}{space 2} .0495982{col 43}{space 1}    0.32{col 52}{space 3}0.754{col 60}{space 4}-.0860788{col 73}{space 3} .1174552
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0154707{col 32}{space 2} .0583248{col 43}{space 1}    0.27{col 52}{space 3}0.793{col 60}{space 4}-.1042019{col 73}{space 3} .1351433
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0341672{col 32}{space 2} .0665383{col 43}{space 1}   -0.51{col 52}{space 3}0.612{col 60}{space 4}-.1706924{col 73}{space 3} .1023581
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 1.291253{col 32}{space 2}   .12415{col 43}{space 1}   10.40{col 52}{space 3}0.000{col 60}{space 4} 1.036518{col 73}{space 3} 1.545987
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est12{txt} stored)

{com}. 
.         
. **TABLE 2: Percentage of returned migrants living in each category of housing while abroad
. tab housing_abroad_emp if lived_abroad==1

   {txt}Housing: {c |}
   Employer {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        127       47.39       47.39
{txt}          1 {c |}{res}        141       52.61      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        268      100.00
{txt}
{com}. tab housing_abroad_barrack if lived_abroad==1

   {txt}Housing: {c |}
    Barrack {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        137       51.12       51.12
{txt}          1 {c |}{res}        131       48.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        268      100.00
{txt}
{com}. tab housing_abroad_own if lived_abroad==1

   {txt}Housing: {c |}
Independent {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        251       93.66       93.66
{txt}          1 {c |}{res}         17        6.34      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        268      100.00
{txt}
{com}. tab housing_gulf_empl if lived_abroad_gulf==1

   {txt}Housing: {c |}
   Employer {c |}
     (Gulf) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         20       18.87       18.87
{txt}          1 {c |}{res}         86       81.13      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        106      100.00
{txt}
{com}. tab housing_gulf_barrack if lived_abroad_gulf==1

   {txt}Housing: {c |}
    Barrack {c |}
     (Gulf) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         77       72.64       72.64
{txt}          1 {c |}{res}         29       27.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        106      100.00
{txt}
{com}. tab housing_gulf_own if lived_abroad_gulf==1

   {txt}Housing: {c |}
Independent {c |}
     (Gulf) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        103       97.17       97.17
{txt}          1 {c |}{res}          3        2.83      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        106      100.00
{txt}
{com}. 
. 
. 
. *****************************************************************************************
. *******************************Online Supporting Information*****************************
. *****************************************************************************************
. 
. 
. **TABLE A.1: Expert ratings of country characteristics from Varieties of Democracy (2000), GCC
.         *Figures come directly from Varieties of Democracy "Country-Year: V-Dem Core" accessible at: https://www.v-dem.net/data/the-v-dem-dataset/
. 
. **TABLE A.2: Expert ratings of country characteristics from Varieties of Democracy (2000), other destinations
.         *Figures come directly from Varieties of Democracy "Country-Year: V-Dem Core" accessible at: https://www.v-dem.net/data/the-v-dem-dataset/
. 
. **TABLES D.1, D.2, D.3, and D.4: See above
. 
. 
. **FIGURE D.1: Comparing attitudes of returned migrants from the ARAB GULF COUNTRIES with prospective and non-migrants
. gen never_lived_gulf = 0
{txt}
{com}. replace never_lived_gulf = 1 if lived_abroad_gulf==0 & consider_migrat == 0
{txt}(1,523 real changes made)

{com}. label variable never_lived_gulf "Non-Migrant (Gulf)"
{txt}
{com}. 
. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.         eststo: reg `outcome' consider_migrat_nm never_lived_gulf age education_years hh_employed_ft married econ_sat male bystander i.district, cl(location)
{txt}  3{com}.         estimates store `outcome'_3compare
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,601
                                                {txt}F(13, 27)         =  {res}     4.13
                                                {txt}Prob > F          = {res}    0.0009
                                                {txt}R-squared         = {res}    0.0362
                                                {txt}Root MSE          =    {res} .42847

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     extremism_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2540626{col 32}{space 2}  .088914{col 43}{space 1}    2.86{col 52}{space 3}0.008{col 60}{space 4} .0716262{col 73}{space 3}  .436499
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2} .0478956{col 32}{space 2} .0492596{col 43}{space 1}    0.97{col 52}{space 3}0.340{col 60}{space 4}-.0531768{col 73}{space 3} .1489679
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0033215{col 32}{space 2}  .001097{col 43}{space 1}   -3.03{col 52}{space 3}0.005{col 60}{space 4}-.0055723{col 73}{space 3}-.0010707
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0163452{col 32}{space 2} .0027476{col 43}{space 1}   -5.95{col 52}{space 3}0.000{col 60}{space 4}-.0219828{col 73}{space 3}-.0107076
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0650869{col 32}{space 2}  .028169{col 43}{space 1}   -2.31{col 52}{space 3}0.029{col 60}{space 4} -.122885{col 73}{space 3}-.0072888
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0893768{col 32}{space 2} .0421772{col 43}{space 1}   -2.12{col 52}{space 3}0.043{col 60}{space 4}-.1759173{col 73}{space 3}-.0028363
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0138449{col 32}{space 2} .0178015{col 43}{space 1}    0.78{col 52}{space 3}0.443{col 60}{space 4}-.0226807{col 73}{space 3} .0503705
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0388579{col 32}{space 2} .0293322{col 43}{space 1}    1.32{col 52}{space 3}0.196{col 60}{space 4}-.0213268{col 73}{space 3} .0990426
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0265343{col 32}{space 2} .0276429{col 43}{space 1}   -0.96{col 52}{space 3}0.346{col 60}{space 4}-.0832528{col 73}{space 3} .0301843
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0707959{col 32}{space 2} .0520275{col 43}{space 1}    1.36{col 52}{space 3}0.185{col 60}{space 4}-.0359556{col 73}{space 3} .1775475
{txt}{space 14}110  {c |}{col 20}{res}{space 2}  .019208{col 32}{space 2} .0423608{col 43}{space 1}    0.45{col 52}{space 3}0.654{col 60}{space 4}-.0677092{col 73}{space 3} .1061252
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0447752{col 32}{space 2} .0408939{col 43}{space 1}    1.09{col 52}{space 3}0.283{col 60}{space 4}-.0391323{col 73}{space 3} .1286826
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0325061{col 32}{space 2} .0374912{col 43}{space 1}    0.87{col 52}{space 3}0.394{col 60}{space 4}-.0444194{col 73}{space 3} .1094316
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .2774612{col 32}{space 2} .1107235{col 43}{space 1}    2.51{col 52}{space 3}0.019{col 60}{space 4} .0502753{col 73}{space 3} .5046471
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,675
                                                {txt}F(13, 27)         =  {res}    14.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1183
                                                {txt}Root MSE          =    {res} .67823

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      religion_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2047258{col 32}{space 2} .1447695{col 43}{space 1}    1.41{col 52}{space 3}0.169{col 60}{space 4}-.0923168{col 73}{space 3} .5017684
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2}-.0280371{col 32}{space 2} .0732734{col 43}{space 1}   -0.38{col 52}{space 3}0.705{col 60}{space 4}-.1783818{col 73}{space 3} .1223075
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0149469{col 32}{space 2} .0018965{col 43}{space 1}    7.88{col 52}{space 3}0.000{col 60}{space 4} .0110555{col 73}{space 3} .0188382
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}  .021165{col 32}{space 2} .0078005{col 43}{space 1}    2.71{col 52}{space 3}0.011{col 60}{space 4} .0051597{col 73}{space 3} .0371703
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .1636752{col 32}{space 2} .0539014{col 43}{space 1}    3.04{col 52}{space 3}0.005{col 60}{space 4} .0530786{col 73}{space 3} .2742718
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0847223{col 32}{space 2} .0712687{col 43}{space 1}   -1.19{col 52}{space 3}0.245{col 60}{space 4}-.2309537{col 73}{space 3}  .061509
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2}  .015431{col 32}{space 2} .0252286{col 43}{space 1}    0.61{col 52}{space 3}0.546{col 60}{space 4}-.0363338{col 73}{space 3} .0671958
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1878439{col 32}{space 2} .0678228{col 43}{space 1}    2.77{col 52}{space 3}0.010{col 60}{space 4}  .048683{col 73}{space 3} .3270048
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0605593{col 32}{space 2} .0593327{col 43}{space 1}    1.02{col 52}{space 3}0.316{col 60}{space 4}-.0611813{col 73}{space 3}    .1823
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1942704{col 32}{space 2} .1064265{col 43}{space 1}    1.83{col 52}{space 3}0.079{col 60}{space 4}-.0240988{col 73}{space 3} .4126396
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .2254443{col 32}{space 2} .1250173{col 43}{space 1}    1.80{col 52}{space 3}0.083{col 60}{space 4}  -.03107{col 73}{space 3} .4819585
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0618058{col 32}{space 2} .1068777{col 43}{space 1}    0.58{col 52}{space 3}0.568{col 60}{space 4}-.1574891{col 73}{space 3} .2811006
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .1530613{col 32}{space 2} .1105107{col 43}{space 1}    1.39{col 52}{space 3}0.177{col 60}{space 4} -.073688{col 73}{space 3} .3798106
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.220606{col 32}{space 2} .1976817{col 43}{space 1}   -6.17{col 52}{space 3}0.000{col 60}{space 4}-1.626215{col 73}{space 3}-.8149965
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     5.59
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0269
                                                {txt}Root MSE          =    {res} .65263

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    ideo_ed_gender{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}  .341026{col 32}{space 2} .0978961{col 43}{space 1}    3.48{col 52}{space 3}0.002{col 60}{space 4} .1401599{col 73}{space 3} .5418922
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2} .0310031{col 32}{space 2} .0605194{col 43}{space 1}    0.51{col 52}{space 3}0.613{col 60}{space 4}-.0931725{col 73}{space 3} .1551788
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0003511{col 32}{space 2} .0010839{col 43}{space 1}    0.32{col 52}{space 3}0.749{col 60}{space 4} -.001873{col 73}{space 3} .0025751
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0200131{col 32}{space 2} .0049493{col 43}{space 1}   -4.04{col 52}{space 3}0.000{col 60}{space 4}-.0301681{col 73}{space 3} -.009858
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .0202985{col 32}{space 2} .0380325{col 43}{space 1}    0.53{col 52}{space 3}0.598{col 60}{space 4}-.0577377{col 73}{space 3} .0983347
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0482815{col 32}{space 2}  .037157{col 43}{space 1}   -1.30{col 52}{space 3}0.205{col 60}{space 4}-.1245213{col 73}{space 3} .0279582
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0237817{col 32}{space 2} .0243364{col 43}{space 1}    0.98{col 52}{space 3}0.337{col 60}{space 4}-.0261525{col 73}{space 3} .0737159
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0323985{col 32}{space 2} .0403639{col 43}{space 1}    0.80{col 52}{space 3}0.429{col 60}{space 4}-.0504214{col 73}{space 3} .1152183
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0023844{col 32}{space 2} .0455669{col 43}{space 1}    0.05{col 52}{space 3}0.959{col 60}{space 4}-.0911113{col 73}{space 3}   .09588
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0834231{col 32}{space 2} .0909686{col 43}{space 1}    0.92{col 52}{space 3}0.367{col 60}{space 4} -.103229{col 73}{space 3} .2700753
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0485372{col 32}{space 2} .0713523{col 43}{space 1}    0.68{col 52}{space 3}0.502{col 60}{space 4}-.0978656{col 73}{space 3} .1949401
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0599834{col 32}{space 2} .0704511{col 43}{space 1}   -0.85{col 52}{space 3}0.402{col 60}{space 4}-.2045371{col 73}{space 3} .0845702
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0605552{col 32}{space 2} .0754042{col 43}{space 1}    0.80{col 52}{space 3}0.429{col 60}{space 4}-.0941614{col 73}{space 3} .2152717
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}  2.78353{col 32}{space 2} .1271555{col 43}{space 1}   21.89{col 52}{space 3}0.000{col 60}{space 4} 2.522628{col 73}{space 3} 3.044431
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     6.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0281
                                                {txt}Root MSE          =    {res} .60413

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_husbands{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .4203844{col 32}{space 2}  .136856{col 43}{space 1}    3.07{col 52}{space 3}0.005{col 60}{space 4} .1395792{col 73}{space 3} .7011896
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2} .0678817{col 32}{space 2} .0468867{col 43}{space 1}    1.45{col 52}{space 3}0.159{col 60}{space 4}-.0283218{col 73}{space 3} .1640852
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0036115{col 32}{space 2} .0017514{col 43}{space 1}   -2.06{col 52}{space 3}0.049{col 60}{space 4}-.0072052{col 73}{space 3}-.0000178
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0128211{col 32}{space 2} .0051123{col 43}{space 1}   -2.51{col 52}{space 3}0.018{col 60}{space 4}-.0233106{col 73}{space 3}-.0023315
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} -.018681{col 32}{space 2}  .035857{col 43}{space 1}   -0.52{col 52}{space 3}0.607{col 60}{space 4}-.0922535{col 73}{space 3} .0548914
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0454049{col 32}{space 2} .0455185{col 43}{space 1}    1.00{col 52}{space 3}0.327{col 60}{space 4}-.0479913{col 73}{space 3} .1388012
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0030529{col 32}{space 2} .0236961{col 43}{space 1}    0.13{col 52}{space 3}0.898{col 60}{space 4}-.0455674{col 73}{space 3} .0516732
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1436245{col 32}{space 2} .0324684{col 43}{space 1}    4.42{col 52}{space 3}0.000{col 60}{space 4} .0770048{col 73}{space 3} .2102442
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0523831{col 32}{space 2} .0280597{col 43}{space 1}    1.87{col 52}{space 3}0.073{col 60}{space 4}-.0051907{col 73}{space 3} .1099569
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0868458{col 32}{space 2} .0524711{col 43}{space 1}   -1.66{col 52}{space 3}0.109{col 60}{space 4}-.1945075{col 73}{space 3}  .020816
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.0847953{col 32}{space 2} .0400011{col 43}{space 1}   -2.12{col 52}{space 3}0.043{col 60}{space 4}-.1668708{col 73}{space 3}-.0027199
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0553888{col 32}{space 2} .0343174{col 43}{space 1}   -1.61{col 52}{space 3}0.118{col 60}{space 4}-.1258024{col 73}{space 3} .0150247
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0195032{col 32}{space 2} .0494488{col 43}{space 1}    0.39{col 52}{space 3}0.696{col 60}{space 4}-.0819573{col 73}{space 3} .1209637
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.940497{col 32}{space 2} .1213013{col 43}{space 1}   24.24{col 52}{space 3}0.000{col 60}{space 4} 2.691607{col 73}{space 3} 3.189386
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,671
                                                {txt}F(13, 27)         =  {res}     4.31
                                                {txt}Prob > F          = {res}    0.0007
                                                {txt}R-squared         = {res}    0.0311
                                                {txt}Root MSE          =    {res} .52325

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       ideo_takfir{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .0007395{col 32}{space 2} .0680698{col 43}{space 1}    0.01{col 52}{space 3}0.991{col 60}{space 4}-.1389282{col 73}{space 3} .1404072
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2} .0117813{col 32}{space 2} .0517617{col 43}{space 1}    0.23{col 52}{space 3}0.822{col 60}{space 4}-.0944248{col 73}{space 3} .1179875
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0012808{col 32}{space 2} .0013641{col 43}{space 1}   -0.94{col 52}{space 3}0.356{col 60}{space 4}-.0040796{col 73}{space 3}  .001518
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0128065{col 32}{space 2} .0050162{col 43}{space 1}   -2.55{col 52}{space 3}0.017{col 60}{space 4}-.0230988{col 73}{space 3}-.0025142
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0486925{col 32}{space 2} .0307876{col 43}{space 1}   -1.58{col 52}{space 3}0.125{col 60}{space 4}-.1118634{col 73}{space 3} .0144783
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1340724{col 32}{space 2} .0362471{col 43}{space 1}   -3.70{col 52}{space 3}0.001{col 60}{space 4}-.2084453{col 73}{space 3}-.0596996
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0369889{col 32}{space 2} .0216588{col 43}{space 1}    1.71{col 52}{space 3}0.099{col 60}{space 4}-.0074513{col 73}{space 3} .0814291
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0147731{col 32}{space 2} .0315981{col 43}{space 1}    0.47{col 52}{space 3}0.644{col 60}{space 4}-.0500607{col 73}{space 3}  .079607
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0822286{col 32}{space 2} .0340789{col 43}{space 1}   -2.41{col 52}{space 3}0.023{col 60}{space 4}-.1521527{col 73}{space 3}-.0123045
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0461594{col 32}{space 2} .0763927{col 43}{space 1}   -0.60{col 52}{space 3}0.551{col 60}{space 4}-.2029044{col 73}{space 3} .1105855
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0680779{col 32}{space 2} .0369357{col 43}{space 1}    1.84{col 52}{space 3}0.076{col 60}{space 4} -.007708{col 73}{space 3} .1438637
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1104936{col 32}{space 2} .0641186{col 43}{space 1}    1.72{col 52}{space 3}0.096{col 60}{space 4}-.0210669{col 73}{space 3}  .242054
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0873608{col 32}{space 2} .0611487{col 43}{space 1}    1.43{col 52}{space 3}0.165{col 60}{space 4}-.0381059{col 73}{space 3} .2128276
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.268867{col 32}{space 2}  .140816{col 43}{space 1}   16.11{col 52}{space 3}0.000{col 60}{space 4} 1.979937{col 73}{space 3} 2.557798
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}    13.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0577
                                                {txt}Root MSE          =    {res} .59331

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_violence{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3192495{col 32}{space 2}  .108367{col 43}{space 1}    2.95{col 52}{space 3}0.007{col 60}{space 4} .0968989{col 73}{space 3} .5416002
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2} .1338968{col 32}{space 2} .0614835{col 43}{space 1}    2.18{col 52}{space 3}0.038{col 60}{space 4} .0077432{col 73}{space 3} .2600505
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0035076{col 32}{space 2}   .00185{col 43}{space 1}   -1.90{col 52}{space 3}0.069{col 60}{space 4}-.0073035{col 73}{space 3} .0002883
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0291944{col 32}{space 2} .0051467{col 43}{space 1}   -5.67{col 52}{space 3}0.000{col 60}{space 4}-.0397545{col 73}{space 3}-.0186343
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0734246{col 32}{space 2} .0409153{col 43}{space 1}   -1.79{col 52}{space 3}0.084{col 60}{space 4}-.1573758{col 73}{space 3} .0105266
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0813115{col 32}{space 2} .0474594{col 43}{space 1}   -1.71{col 52}{space 3}0.098{col 60}{space 4}  -.17869{col 73}{space 3} .0160671
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0035798{col 32}{space 2} .0216719{col 43}{space 1}    0.17{col 52}{space 3}0.870{col 60}{space 4}-.0408872{col 73}{space 3} .0480468
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0195831{col 32}{space 2} .0426585{col 43}{space 1}   -0.46{col 52}{space 3}0.650{col 60}{space 4} -.107111{col 73}{space 3} .0679449
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0806265{col 32}{space 2} .0491619{col 43}{space 1}   -1.64{col 52}{space 3}0.113{col 60}{space 4}-.1814983{col 73}{space 3} .0202453
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1153336{col 32}{space 2} .0792982{col 43}{space 1}    1.45{col 52}{space 3}0.157{col 60}{space 4}-.0473729{col 73}{space 3}   .27804
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0424764{col 32}{space 2} .0647554{col 43}{space 1}    0.66{col 52}{space 3}0.517{col 60}{space 4}-.0903907{col 73}{space 3} .1753434
{txt}{space 14}150  {c |}{col 20}{res}{space 2}  .016313{col 32}{space 2} .0608207{col 43}{space 1}    0.27{col 52}{space 3}0.791{col 60}{space 4}-.1084809{col 73}{space 3} .1411068
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0976762{col 32}{space 2} .1004279{col 43}{space 1}   -0.97{col 52}{space 3}0.339{col 60}{space 4}-.3037372{col 73}{space 3} .1083847
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}  2.47063{col 32}{space 2} .1638844{col 43}{space 1}   15.08{col 52}{space 3}0.000{col 60}{space 4} 2.134367{col 73}{space 3} 2.806893
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}     8.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0164
                                                {txt}Root MSE          =    {res} .57904

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      ideo_clerics{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1666645{col 32}{space 2} .0914397{col 43}{space 1}    1.82{col 52}{space 3}0.079{col 60}{space 4}-.0209542{col 73}{space 3} .3542832
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2} .0203455{col 32}{space 2} .0685888{col 43}{space 1}    0.30{col 52}{space 3}0.769{col 60}{space 4}-.1203872{col 73}{space 3} .1610782
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0026178{col 32}{space 2}  .001152{col 43}{space 1}    2.27{col 52}{space 3}0.031{col 60}{space 4} .0002541{col 73}{space 3} .0049816
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0059561{col 32}{space 2} .0035762{col 43}{space 1}    1.67{col 52}{space 3}0.107{col 60}{space 4}-.0013816{col 73}{space 3} .0132938
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0410197{col 32}{space 2} .0333846{col 43}{space 1}   -1.23{col 52}{space 3}0.230{col 60}{space 4}-.1095193{col 73}{space 3} .0274799
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0023195{col 32}{space 2} .0430801{col 43}{space 1}    0.05{col 52}{space 3}0.957{col 60}{space 4}-.0860736{col 73}{space 3} .0907126
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0286756{col 32}{space 2} .0229399{col 43}{space 1}    1.25{col 52}{space 3}0.222{col 60}{space 4}-.0183931{col 73}{space 3} .0757443
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1045985{col 32}{space 2} .0407564{col 43}{space 1}    2.57{col 52}{space 3}0.016{col 60}{space 4} .0209734{col 73}{space 3} .1882237
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0118701{col 32}{space 2}  .032686{col 43}{space 1}    0.36{col 52}{space 3}0.719{col 60}{space 4}-.0551961{col 73}{space 3} .0789363
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.1495731{col 32}{space 2} .0463716{col 43}{space 1}   -3.23{col 52}{space 3}0.003{col 60}{space 4}-.2447199{col 73}{space 3}-.0544264
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.1162208{col 32}{space 2} .0546619{col 43}{space 1}   -2.13{col 52}{space 3}0.043{col 60}{space 4}-.2283777{col 73}{space 3}-.0040639
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0691506{col 32}{space 2} .0528461{col 43}{space 1}   -1.31{col 52}{space 3}0.202{col 60}{space 4}-.1775818{col 73}{space 3} .0392806
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0721523{col 32}{space 2} .0556029{col 43}{space 1}   -1.30{col 52}{space 3}0.205{col 60}{space 4}  -.18624{col 73}{space 3} .0419355
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.575848{col 32}{space 2} .0923411{col 43}{space 1}   27.89{col 52}{space 3}0.000{col 60}{space 4} 2.386379{col 73}{space 3} 2.765316
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}     1,653
                                                {txt}F(13, 27)         =  {res}    11.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0209
                                                {txt}Root MSE          =    {res} .63587

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_interest{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.1050761{col 32}{space 2}  .148555{col 43}{space 1}   -0.71{col 52}{space 3}0.485{col 60}{space 4}-.4098858{col 73}{space 3} .1997336
{txt}{space 2}never_lived_gulf {c |}{col 20}{res}{space 2}-.0034845{col 32}{space 2} .0776895{col 43}{space 1}   -0.04{col 52}{space 3}0.965{col 60}{space 4}-.1628902{col 73}{space 3} .1559211
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0050824{col 32}{space 2}  .001541{col 43}{space 1}   -3.30{col 52}{space 3}0.003{col 60}{space 4}-.0082443{col 73}{space 3}-.0019206
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0035234{col 32}{space 2}  .005381{col 43}{space 1}    0.65{col 52}{space 3}0.518{col 60}{space 4}-.0075175{col 73}{space 3} .0145642
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0358742{col 32}{space 2} .0419594{col 43}{space 1}   -0.85{col 52}{space 3}0.400{col 60}{space 4}-.1219677{col 73}{space 3} .0502194
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0048204{col 32}{space 2} .0547779{col 43}{space 1}    0.09{col 52}{space 3}0.931{col 60}{space 4}-.1075746{col 73}{space 3} .1172154
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2}  .000288{col 32}{space 2} .0221443{col 43}{space 1}    0.01{col 52}{space 3}0.990{col 60}{space 4}-.0451483{col 73}{space 3} .0457244
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0225167{col 32}{space 2} .0323629{col 43}{space 1}   -0.70{col 52}{space 3}0.493{col 60}{space 4}-.0889199{col 73}{space 3} .0438865
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0013975{col 32}{space 2} .0316219{col 43}{space 1}   -0.04{col 52}{space 3}0.965{col 60}{space 4}-.0662803{col 73}{space 3} .0634853
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1666437{col 32}{space 2} .0565431{col 43}{space 1}    2.95{col 52}{space 3}0.007{col 60}{space 4} .0506269{col 73}{space 3} .2826605
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0913949{col 32}{space 2} .0490476{col 43}{space 1}    1.86{col 52}{space 3}0.073{col 60}{space 4}-.0092424{col 73}{space 3} .1920322
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1004712{col 32}{space 2} .0568061{col 43}{space 1}    1.77{col 52}{space 3}0.088{col 60}{space 4}-.0160854{col 73}{space 3} .2170278
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0004225{col 32}{space 2} .0427924{col 43}{space 1}   -0.01{col 52}{space 3}0.992{col 60}{space 4}-.0882254{col 73}{space 3} .0873803
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.811002{col 32}{space 2} .1292928{col 43}{space 1}   21.74{col 52}{space 3}0.000{col 60}{space 4} 2.545715{col 73}{space 3} 3.076289
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}. coefplot (extremism_idx_3compare, nokey), bylabel(Fundamentalism (index)) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (religion_idx_3compare, nokey), bylabel(Relig. behav. (index)) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_ed_gender_3compare, nokey), bylabel(Education for men) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_husbands_3compare, nokey), bylabel(Husbands final say) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_takfir_3compare, nokey), bylabel(Takfir) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_violence_3compare, nokey), bylabel(Violence permitted) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_clerics_3compare, nokey), bylabel(Clerics inf. gov.) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_interest_3compare, nokey), bylabel(Interest forbidden) keep(consider_migrat_nm never_lived_gulf) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) byopts(row(4)) xsize(5.5) 
{res}{txt}
{com}. 
. 
. **FIGURE D.2: Comparing attitudes of returned migrants from ALL COUNTRIES with prospective and non-migrants
. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.         eststo: reg `outcome' consider_migrat_nm never_migrate age education_years hh_employed_ft married econ_sat male bystander i.district, cl(location)
{txt}  3{com}.         estimates store `outcome'_3compare
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,601
                                                {txt}F(13, 27)         =  {res}     4.04
                                                {txt}Prob > F          = {res}    0.0011
                                                {txt}R-squared         = {res}    0.0356
                                                {txt}Root MSE          =    {res} .42858

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     extremism_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2260705{col 32}{space 2} .0808918{col 43}{space 1}    2.79{col 52}{space 3}0.009{col 60}{space 4} .0600943{col 73}{space 3} .3920467
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .0202242{col 32}{space 2} .0332308{col 43}{space 1}    0.61{col 52}{space 3}0.548{col 60}{space 4}-.0479598{col 73}{space 3} .0884082
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0033463{col 32}{space 2} .0010927{col 43}{space 1}   -3.06{col 52}{space 3}0.005{col 60}{space 4}-.0055882{col 73}{space 3}-.0011043
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0163774{col 32}{space 2} .0027623{col 43}{space 1}   -5.93{col 52}{space 3}0.000{col 60}{space 4}-.0220451{col 73}{space 3}-.0107097
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} -.065474{col 32}{space 2} .0286952{col 43}{space 1}   -2.28{col 52}{space 3}0.031{col 60}{space 4}-.1243517{col 73}{space 3}-.0065964
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0889759{col 32}{space 2} .0423681{col 43}{space 1}   -2.10{col 52}{space 3}0.045{col 60}{space 4} -.175908{col 73}{space 3}-.0020438
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0147807{col 32}{space 2} .0179343{col 43}{space 1}    0.82{col 52}{space 3}0.417{col 60}{space 4}-.0220174{col 73}{space 3} .0515787
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0419917{col 32}{space 2} .0298185{col 43}{space 1}    1.41{col 52}{space 3}0.170{col 60}{space 4}-.0191907{col 73}{space 3} .1031742
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0259905{col 32}{space 2}  .027656{col 43}{space 1}   -0.94{col 52}{space 3}0.356{col 60}{space 4}-.0827359{col 73}{space 3} .0307549
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0724157{col 32}{space 2} .0520575{col 43}{space 1}    1.39{col 52}{space 3}0.176{col 60}{space 4}-.0343975{col 73}{space 3} .1792289
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0199836{col 32}{space 2} .0421847{col 43}{space 1}    0.47{col 52}{space 3}0.640{col 60}{space 4}-.0665723{col 73}{space 3} .1065395
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0460457{col 32}{space 2} .0407773{col 43}{space 1}    1.13{col 52}{space 3}0.269{col 60}{space 4}-.0376223{col 73}{space 3} .1297138
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0328248{col 32}{space 2} .0376657{col 43}{space 1}    0.87{col 52}{space 3}0.391{col 60}{space 4}-.0444588{col 73}{space 3} .1101084
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .3006242{col 32}{space 2} .1011174{col 43}{space 1}    2.97{col 52}{space 3}0.006{col 60}{space 4} .0931485{col 73}{space 3}    .5081
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,675
                                                {txt}F(13, 27)         =  {res}    17.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1186
                                                {txt}Root MSE          =    {res}  .6781

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      religion_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1971952{col 32}{space 2} .1299268{col 43}{space 1}    1.52{col 52}{space 3}0.141{col 60}{space 4}-.0693925{col 73}{space 3}  .463783
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2}-.0418868{col 32}{space 2} .0443403{col 43}{space 1}   -0.94{col 52}{space 3}0.353{col 60}{space 4}-.1328655{col 73}{space 3} .0490919
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0150091{col 32}{space 2}  .001887{col 43}{space 1}    7.95{col 52}{space 3}0.000{col 60}{space 4} .0111373{col 73}{space 3}  .018881
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0209016{col 32}{space 2} .0077999{col 43}{space 1}    2.68{col 52}{space 3}0.012{col 60}{space 4} .0048975{col 73}{space 3} .0369057
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .1667208{col 32}{space 2}  .053745{col 43}{space 1}    3.10{col 52}{space 3}0.004{col 60}{space 4} .0564452{col 73}{space 3} .2769964
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0863697{col 32}{space 2} .0706969{col 43}{space 1}   -1.22{col 52}{space 3}0.232{col 60}{space 4}-.2314277{col 73}{space 3} .0586884
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0150874{col 32}{space 2} .0254181{col 43}{space 1}    0.59{col 52}{space 3}0.558{col 60}{space 4}-.0370661{col 73}{space 3}  .067241
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1903969{col 32}{space 2} .0679203{col 43}{space 1}    2.80{col 52}{space 3}0.009{col 60}{space 4}  .051036{col 73}{space 3} .3297578
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0605477{col 32}{space 2} .0595478{col 43}{space 1}    1.02{col 52}{space 3}0.318{col 60}{space 4}-.0616343{col 73}{space 3} .1827297
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .192239{col 32}{space 2} .1066341{col 43}{space 1}    1.80{col 52}{space 3}0.083{col 60}{space 4}-.0265562{col 73}{space 3} .4110342
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .2249497{col 32}{space 2} .1249744{col 43}{space 1}    1.80{col 52}{space 3}0.083{col 60}{space 4}-.0314766{col 73}{space 3}  .481376
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0602519{col 32}{space 2} .1064382{col 43}{space 1}    0.57{col 52}{space 3}0.576{col 60}{space 4}-.1581412{col 73}{space 3} .2786449
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .1520445{col 32}{space 2} .1105832{col 43}{space 1}    1.37{col 52}{space 3}0.180{col 60}{space 4}-.0748535{col 73}{space 3} .3789425
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.213542{col 32}{space 2} .1898892{col 43}{space 1}   -6.39{col 52}{space 3}0.000{col 60}{space 4}-1.603162{col 73}{space 3}-.8239213
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     4.50
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.0272
                                                {txt}Root MSE          =    {res} .65255

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    ideo_ed_gender{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3410271{col 32}{space 2} .1000436{col 43}{space 1}    3.41{col 52}{space 3}0.002{col 60}{space 4} .1357546{col 73}{space 3} .5462997
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .0358864{col 32}{space 2} .0459885{col 43}{space 1}    0.78{col 52}{space 3}0.442{col 60}{space 4}-.0584742{col 73}{space 3} .1302471
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0002982{col 32}{space 2} .0011023{col 43}{space 1}    0.27{col 52}{space 3}0.789{col 60}{space 4}-.0019634{col 73}{space 3} .0025599
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} -.019818{col 32}{space 2} .0049881{col 43}{space 1}   -3.97{col 52}{space 3}0.000{col 60}{space 4}-.0300527{col 73}{space 3}-.0095833
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .0179006{col 32}{space 2} .0386511{col 43}{space 1}    0.46{col 52}{space 3}0.647{col 60}{space 4}-.0614049{col 73}{space 3} .0972061
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0469346{col 32}{space 2} .0376897{col 43}{space 1}   -1.25{col 52}{space 3}0.224{col 60}{space 4}-.1242676{col 73}{space 3} .0303983
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0242116{col 32}{space 2} .0244689{col 43}{space 1}    0.99{col 52}{space 3}0.331{col 60}{space 4}-.0259944{col 73}{space 3} .0744177
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0310808{col 32}{space 2} .0409884{col 43}{space 1}    0.76{col 52}{space 3}0.455{col 60}{space 4}-.0530203{col 73}{space 3}  .115182
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}  .002516{col 32}{space 2} .0459245{col 43}{space 1}    0.05{col 52}{space 3}0.957{col 60}{space 4}-.0917134{col 73}{space 3} .0967453
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0853156{col 32}{space 2} .0911102{col 43}{space 1}    0.94{col 52}{space 3}0.357{col 60}{space 4} -.101627{col 73}{space 3} .2722582
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0490843{col 32}{space 2} .0712511{col 43}{space 1}    0.69{col 52}{space 3}0.497{col 60}{space 4}-.0971109{col 73}{space 3} .1952795
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0585063{col 32}{space 2} .0703132{col 43}{space 1}   -0.83{col 52}{space 3}0.413{col 60}{space 4} -.202777{col 73}{space 3} .0857645
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0614099{col 32}{space 2} .0754982{col 43}{space 1}    0.81{col 52}{space 3}0.423{col 60}{space 4}-.0934997{col 73}{space 3} .2163195
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.782925{col 32}{space 2} .1263944{col 43}{space 1}   22.02{col 52}{space 3}0.000{col 60}{space 4} 2.523585{col 73}{space 3} 3.042265
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     5.87
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0275
                                                {txt}Root MSE          =    {res} .60432

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_husbands{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3766858{col 32}{space 2} .1345716{col 43}{space 1}    2.80{col 52}{space 3}0.009{col 60}{space 4} .1005677{col 73}{space 3}  .652804
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .0238532{col 32}{space 2} .0398742{col 43}{space 1}    0.60{col 52}{space 3}0.555{col 60}{space 4}-.0579619{col 73}{space 3} .1056682
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0036464{col 32}{space 2} .0017534{col 43}{space 1}   -2.08{col 52}{space 3}0.047{col 60}{space 4}-.0072442{col 73}{space 3}-.0000487
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0129038{col 32}{space 2} .0050765{col 43}{space 1}   -2.54{col 52}{space 3}0.017{col 60}{space 4}-.0233199{col 73}{space 3}-.0024877
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0187704{col 32}{space 2} .0366703{col 43}{space 1}   -0.51{col 52}{space 3}0.613{col 60}{space 4}-.0940116{col 73}{space 3} .0564708
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0458283{col 32}{space 2} .0456652{col 43}{space 1}    1.00{col 52}{space 3}0.324{col 60}{space 4} -.047869{col 73}{space 3} .1395256
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0042945{col 32}{space 2} .0239068{col 43}{space 1}    0.18{col 52}{space 3}0.859{col 60}{space 4}-.0447582{col 73}{space 3} .0533473
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1486353{col 32}{space 2} .0345205{col 43}{space 1}    4.31{col 52}{space 3}0.000{col 60}{space 4}  .077805{col 73}{space 3} .2194656
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0532695{col 32}{space 2} .0278274{col 43}{space 1}    1.91{col 52}{space 3}0.066{col 60}{space 4}-.0038277{col 73}{space 3} .1103666
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0845655{col 32}{space 2} .0517726{col 43}{space 1}   -1.63{col 52}{space 3}0.114{col 60}{space 4}-.1907941{col 73}{space 3}  .021663
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.0835928{col 32}{space 2} .0394411{col 43}{space 1}   -2.12{col 52}{space 3}0.043{col 60}{space 4}-.1645192{col 73}{space 3}-.0026664
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0534745{col 32}{space 2} .0342624{col 43}{space 1}   -1.56{col 52}{space 3}0.130{col 60}{space 4}-.1237751{col 73}{space 3} .0168261
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0199769{col 32}{space 2} .0493048{col 43}{space 1}    0.41{col 52}{space 3}0.689{col 60}{space 4}-.0811883{col 73}{space 3} .1211421
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.977085{col 32}{space 2} .1278091{col 43}{space 1}   23.29{col 52}{space 3}0.000{col 60}{space 4} 2.714842{col 73}{space 3} 3.239328
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,671
                                                {txt}F(13, 27)         =  {res}     4.83
                                                {txt}Prob > F          = {res}    0.0003
                                                {txt}R-squared         = {res}    0.0316
                                                {txt}Root MSE          =    {res} .52313

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       ideo_takfir{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .0165207{col 32}{space 2} .0585474{col 43}{space 1}    0.28{col 52}{space 3}0.780{col 60}{space 4}-.1036086{col 73}{space 3}   .13665
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2}  .033372{col 32}{space 2} .0368012{col 43}{space 1}    0.91{col 52}{space 3}0.373{col 60}{space 4}-.0421378{col 73}{space 3} .1088817
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0013314{col 32}{space 2} .0013651{col 43}{space 1}   -0.98{col 52}{space 3}0.338{col 60}{space 4}-.0041323{col 73}{space 3} .0014696
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0125543{col 32}{space 2} .0049558{col 43}{space 1}   -2.53{col 52}{space 3}0.017{col 60}{space 4}-.0227227{col 73}{space 3} -.002386
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0514975{col 32}{space 2}  .031165{col 43}{space 1}   -1.65{col 52}{space 3}0.110{col 60}{space 4}-.1154427{col 73}{space 3} .0124477
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1326817{col 32}{space 2} .0365813{col 43}{space 1}   -3.63{col 52}{space 3}0.001{col 60}{space 4}-.2077402{col 73}{space 3}-.0576231
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0370265{col 32}{space 2} .0220738{col 43}{space 1}    1.68{col 52}{space 3}0.105{col 60}{space 4}-.0082653{col 73}{space 3} .0823183
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0114231{col 32}{space 2} .0324936{col 43}{space 1}    0.35{col 52}{space 3}0.728{col 60}{space 4}-.0552482{col 73}{space 3} .0780944
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0823379{col 32}{space 2} .0345917{col 43}{space 1}   -2.38{col 52}{space 3}0.025{col 60}{space 4}-.1533143{col 73}{space 3}-.0113615
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0448558{col 32}{space 2} .0751939{col 43}{space 1}   -0.60{col 52}{space 3}0.556{col 60}{space 4} -.199141{col 73}{space 3} .1094294
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0682988{col 32}{space 2} .0365859{col 43}{space 1}    1.87{col 52}{space 3}0.073{col 60}{space 4}-.0067691{col 73}{space 3} .1433668
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1115463{col 32}{space 2} .0634535{col 43}{space 1}    1.76{col 52}{space 3}0.090{col 60}{space 4}-.0186496{col 73}{space 3} .2417422
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0881971{col 32}{space 2} .0612551{col 43}{space 1}    1.44{col 52}{space 3}0.161{col 60}{space 4} -.037488{col 73}{space 3} .2138821
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.255122{col 32}{space 2} .1249275{col 43}{space 1}   18.05{col 52}{space 3}0.000{col 60}{space 4} 1.998792{col 73}{space 3} 2.511452
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}    11.59
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0599
                                                {txt}Root MSE          =    {res}  .5926

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_violence{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2955671{col 32}{space 2}  .126438{col 43}{space 1}    2.34{col 52}{space 3}0.027{col 60}{space 4} .0361378{col 73}{space 3} .5549964
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .1255023{col 32}{space 2}  .043511{col 43}{space 1}    2.88{col 52}{space 3}0.008{col 60}{space 4} .0362251{col 73}{space 3} .2147795
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0036966{col 32}{space 2} .0018242{col 43}{space 1}   -2.03{col 52}{space 3}0.053{col 60}{space 4}-.0074397{col 73}{space 3} .0000464
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0286307{col 32}{space 2} .0052762{col 43}{space 1}   -5.43{col 52}{space 3}0.000{col 60}{space 4}-.0394565{col 73}{space 3}-.0178048
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0810733{col 32}{space 2} .0409791{col 43}{space 1}   -1.98{col 52}{space 3}0.058{col 60}{space 4}-.1651556{col 73}{space 3} .0030089
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0768541{col 32}{space 2} .0474919{col 43}{space 1}   -1.62{col 52}{space 3}0.117{col 60}{space 4}-.1742995{col 73}{space 3} .0205914
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0056308{col 32}{space 2} .0225641{col 43}{space 1}    0.25{col 52}{space 3}0.805{col 60}{space 4} -.040667{col 73}{space 3} .0519285
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0209237{col 32}{space 2} .0444936{col 43}{space 1}   -0.47{col 52}{space 3}0.642{col 60}{space 4}-.1122169{col 73}{space 3} .0703696
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0796944{col 32}{space 2} .0493136{col 43}{space 1}   -1.62{col 52}{space 3}0.118{col 60}{space 4}-.1808776{col 73}{space 3} .0214889
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1226185{col 32}{space 2} .0794456{col 43}{space 1}    1.54{col 52}{space 3}0.134{col 60}{space 4}-.0403904{col 73}{space 3} .2856274
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0448155{col 32}{space 2} .0630429{col 43}{space 1}    0.71{col 52}{space 3}0.483{col 60}{space 4}-.0845378{col 73}{space 3} .1741689
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0219924{col 32}{space 2} .0601451{col 43}{space 1}    0.37{col 52}{space 3}0.717{col 60}{space 4}-.1014151{col 73}{space 3} .1453999
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0946178{col 32}{space 2} .0996096{col 43}{space 1}   -0.95{col 52}{space 3}0.351{col 60}{space 4}-.2989999{col 73}{space 3} .1097643
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.488602{col 32}{space 2}   .15973{col 43}{space 1}   15.58{col 52}{space 3}0.000{col 60}{space 4} 2.160863{col 73}{space 3} 2.816341
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}     9.40
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0166
                                                {txt}Root MSE          =    {res} .57899

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      ideo_clerics{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1676865{col 32}{space 2} .0738698{col 43}{space 1}    2.27{col 52}{space 3}0.031{col 60}{space 4} .0161182{col 73}{space 3} .3192548
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2} .0248338{col 32}{space 2}  .048247{col 43}{space 1}    0.51{col 52}{space 3}0.611{col 60}{space 4}-.0741608{col 73}{space 3} .1238285
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0025812{col 32}{space 2} .0011694{col 43}{space 1}    2.21{col 52}{space 3}0.036{col 60}{space 4} .0001818{col 73}{space 3} .0049806
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0060947{col 32}{space 2} .0035036{col 43}{space 1}    1.74{col 52}{space 3}0.093{col 60}{space 4}-.0010942{col 73}{space 3} .0132835
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0427202{col 32}{space 2} .0344249{col 43}{space 1}   -1.24{col 52}{space 3}0.225{col 60}{space 4}-.1133543{col 73}{space 3} .0279139
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0032728{col 32}{space 2} .0430049{col 43}{space 1}    0.08{col 52}{space 3}0.940{col 60}{space 4}-.0849661{col 73}{space 3} .0915116
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2}  .028942{col 32}{space 2} .0229925{col 43}{space 1}    1.26{col 52}{space 3}0.219{col 60}{space 4}-.0182347{col 73}{space 3} .0761188
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1035479{col 32}{space 2} .0402542{col 43}{space 1}    2.57{col 52}{space 3}0.016{col 60}{space 4} .0209531{col 73}{space 3} .1861428
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0119414{col 32}{space 2} .0325458{col 43}{space 1}    0.37{col 52}{space 3}0.717{col 60}{space 4}-.0548372{col 73}{space 3} .0787199
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.1482846{col 32}{space 2}  .045942{col 43}{space 1}   -3.23{col 52}{space 3}0.003{col 60}{space 4}-.2425497{col 73}{space 3}-.0540195
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.1158607{col 32}{space 2} .0543131{col 43}{space 1}   -2.13{col 52}{space 3}0.042{col 60}{space 4}-.2273021{col 73}{space 3}-.0044193
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0681487{col 32}{space 2} .0522317{col 43}{space 1}   -1.30{col 52}{space 3}0.203{col 60}{space 4}-.1753194{col 73}{space 3}  .039022
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0715594{col 32}{space 2} .0557577{col 43}{space 1}   -1.28{col 52}{space 3}0.210{col 60}{space 4}-.1859647{col 73}{space 3} .0428459
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.574597{col 32}{space 2}  .086621{col 43}{space 1}   29.72{col 52}{space 3}0.000{col 60}{space 4} 2.396865{col 73}{space 3} 2.752328
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}     1,653
                                                {txt}F(13, 27)         =  {res}    12.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0216
                                                {txt}Root MSE          =    {res} .63563

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_interest{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.1411167{col 32}{space 2} .1275441{col 43}{space 1}   -1.11{col 52}{space 3}0.278{col 60}{space 4}-.4028155{col 73}{space 3} .1205821
{txt}{space 5}never_migrate {c |}{col 20}{res}{space 2}-.0492405{col 32}{space 2} .0488161{col 43}{space 1}   -1.01{col 52}{space 3}0.322{col 60}{space 4}-.1494028{col 73}{space 3} .0509218
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0050089{col 32}{space 2} .0015165{col 43}{space 1}   -3.30{col 52}{space 3}0.003{col 60}{space 4}-.0081204{col 73}{space 3}-.0018974
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0030816{col 32}{space 2} .0053496{col 43}{space 1}    0.58{col 52}{space 3}0.569{col 60}{space 4}-.0078948{col 73}{space 3}  .014058
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0312515{col 32}{space 2} .0434985{col 43}{space 1}   -0.72{col 52}{space 3}0.479{col 60}{space 4}-.1205031{col 73}{space 3}     .058
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0025614{col 32}{space 2} .0543439{col 43}{space 1}    0.05{col 52}{space 3}0.963{col 60}{space 4}-.1089431{col 73}{space 3} .1140658
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0004239{col 32}{space 2} .0218636{col 43}{space 1}    0.02{col 52}{space 3}0.985{col 60}{space 4}-.0444366{col 73}{space 3} .0452844
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0159343{col 32}{space 2} .0336355{col 43}{space 1}   -0.47{col 52}{space 3}0.639{col 60}{space 4}-.0849486{col 73}{space 3}   .05308
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0009665{col 32}{space 2} .0319113{col 43}{space 1}   -0.03{col 52}{space 3}0.976{col 60}{space 4}-.0664432{col 73}{space 3} .0645101
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1649076{col 32}{space 2} .0555451{col 43}{space 1}    2.97{col 52}{space 3}0.006{col 60}{space 4} .0509385{col 73}{space 3} .2788768
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0913839{col 32}{space 2} .0485445{col 43}{space 1}    1.88{col 52}{space 3}0.071{col 60}{space 4}-.0082212{col 73}{space 3}  .190989
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0993126{col 32}{space 2} .0565902{col 43}{space 1}    1.75{col 52}{space 3}0.091{col 60}{space 4}-.0168009{col 73}{space 3} .2154261
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0015767{col 32}{space 2}  .043005{col 43}{space 1}   -0.04{col 52}{space 3}0.971{col 60}{space 4}-.0898157{col 73}{space 3} .0866622
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.842442{col 32}{space 2} .1106494{col 43}{space 1}   25.69{col 52}{space 3}0.000{col 60}{space 4} 2.615408{col 73}{space 3} 3.069476
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}. coefplot (extremism_idx_3compare, nokey), bylabel(Fundamentalism (index)) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (religion_idx_3compare, nokey), bylabel(Relig. behav. (index)) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_ed_gender_3compare, nokey), bylabel(Education for men) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_husbands_3compare, nokey), bylabel(Husbands final say) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_takfir_3compare, nokey), bylabel(Takfir) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_violence_3compare, nokey), bylabel(Violence permitted) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_clerics_3compare, nokey), bylabel(Clerics inf. gov.) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_interest_3compare, nokey), bylabel(Interest forbidden) keep(consider_migrat_nm never_migrate) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) byopts(row(4)) xsize(5.5) 
{res}{txt}
{com}. 
. **TABLE D.5: Comparing returned migrants from DEMOCRACIES with propsective and non-migrants
. gen never_lived_dem = 0
{txt}
{com}. replace never_lived_dem = 1 if lived_abroad_dem==0 & consider_migrat == 0
{txt}(1,480 real changes made)

{com}. label variable never_lived_dem "Non-Migrant (Democracy)"
{txt}
{com}. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.         eststo: reg `outcome' consider_migrat_nm never_lived_dem age education_years hh_employed_ft married econ_sat male bystander i.district, cl(location)
{txt}  3{com}.         estimates store `outcome'_3compare
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,601
                                                {txt}F(13, 27)         =  {res}     3.75
                                                {txt}Prob > F          = {res}    0.0018
                                                {txt}R-squared         = {res}    0.0360
                                                {txt}Root MSE          =    {res}  .4285

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     extremism_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1774747{col 32}{space 2} .0834482{col 43}{space 1}    2.13{col 52}{space 3}0.043{col 60}{space 4} .0062531{col 73}{space 3} .3486964
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2}-.0383232{col 32}{space 2} .0341742{col 43}{space 1}   -1.12{col 52}{space 3}0.272{col 60}{space 4}-.1084429{col 73}{space 3} .0317964
{txt}{space 15}age {c |}{col 20}{res}{space 2}  -.00321{col 32}{space 2} .0011165{col 43}{space 1}   -2.88{col 52}{space 3}0.008{col 60}{space 4}-.0055007{col 73}{space 3}-.0009192
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0166796{col 32}{space 2}  .002681{col 43}{space 1}   -6.22{col 52}{space 3}0.000{col 60}{space 4}-.0221804{col 73}{space 3}-.0111787
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}  -.06009{col 32}{space 2} .0287229{col 43}{space 1}   -2.09{col 52}{space 3}0.046{col 60}{space 4}-.1190245{col 73}{space 3}-.0011555
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0912606{col 32}{space 2}  .042258{col 43}{space 1}   -2.16{col 52}{space 3}0.040{col 60}{space 4}-.1779669{col 73}{space 3}-.0045543
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2}  .014561{col 32}{space 2} .0176677{col 43}{space 1}    0.82{col 52}{space 3}0.417{col 60}{space 4}-.0216902{col 73}{space 3} .0508121
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0453054{col 32}{space 2} .0292201{col 43}{space 1}    1.55{col 52}{space 3}0.133{col 60}{space 4}-.0146493{col 73}{space 3} .1052601
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0261163{col 32}{space 2}    .0276{col 43}{space 1}   -0.95{col 52}{space 3}0.352{col 60}{space 4}-.0827468{col 73}{space 3} .0305142
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0703183{col 32}{space 2} .0518841{col 43}{space 1}    1.36{col 52}{space 3}0.187{col 60}{space 4}-.0361392{col 73}{space 3} .1767758
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0194511{col 32}{space 2} .0413988{col 43}{space 1}    0.47{col 52}{space 3}0.642{col 60}{space 4}-.0654921{col 73}{space 3} .1043944
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0440264{col 32}{space 2}  .040388{col 43}{space 1}    1.09{col 52}{space 3}0.285{col 60}{space 4}-.0388429{col 73}{space 3} .1268958
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0311278{col 32}{space 2} .0376101{col 43}{space 1}    0.83{col 52}{space 3}0.415{col 60}{space 4}-.0460418{col 73}{space 3} .1082973
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .3448557{col 32}{space 2} .0960931{col 43}{space 1}    3.59{col 52}{space 3}0.001{col 60}{space 4} .1476888{col 73}{space 3} .5420225
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,675
                                                {txt}F(13, 27)         =  {res}    17.40
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1183
                                                {txt}Root MSE          =    {res} .67821

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      religion_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2058301{col 32}{space 2} .1313738{col 43}{space 1}    1.57{col 52}{space 3}0.129{col 60}{space 4}-.0637266{col 73}{space 3} .4753869
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2}-.0294007{col 32}{space 2}  .046917{col 43}{space 1}   -0.63{col 52}{space 3}0.536{col 60}{space 4}-.1256665{col 73}{space 3} .0668652
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0150279{col 32}{space 2} .0018674{col 43}{space 1}    8.05{col 52}{space 3}0.000{col 60}{space 4} .0111964{col 73}{space 3} .0188594
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0211784{col 32}{space 2} .0076943{col 43}{space 1}    2.75{col 52}{space 3}0.010{col 60}{space 4}  .005391{col 73}{space 3} .0369659
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .1653475{col 32}{space 2} .0526681{col 43}{space 1}    3.14{col 52}{space 3}0.004{col 60}{space 4} .0572814{col 73}{space 3} .2734135
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0852273{col 32}{space 2} .0708611{col 43}{space 1}   -1.20{col 52}{space 3}0.240{col 60}{space 4}-.2306223{col 73}{space 3} .0601677
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0145449{col 32}{space 2} .0251625{col 43}{space 1}    0.58{col 52}{space 3}0.568{col 60}{space 4}-.0370842{col 73}{space 3}  .066174
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1847618{col 32}{space 2} .0686929{col 43}{space 1}    2.69{col 52}{space 3}0.012{col 60}{space 4} .0438156{col 73}{space 3} .3257079
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}  .059908{col 32}{space 2}  .059695{col 43}{space 1}    1.00{col 52}{space 3}0.324{col 60}{space 4}-.0625761{col 73}{space 3} .1823921
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1923931{col 32}{space 2} .1070422{col 43}{space 1}    1.80{col 52}{space 3}0.083{col 60}{space 4}-.0272394{col 73}{space 3} .4120255
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .2245062{col 32}{space 2} .1245638{col 43}{space 1}    1.80{col 52}{space 3}0.083{col 60}{space 4}-.0310776{col 73}{space 3}   .48009
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0600353{col 32}{space 2} .1069605{col 43}{space 1}    0.56{col 52}{space 3}0.579{col 60}{space 4}-.1594295{col 73}{space 3}    .2795
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .1524201{col 32}{space 2} .1111734{col 43}{space 1}    1.37{col 52}{space 3}0.182{col 60}{space 4}-.0756889{col 73}{space 3}  .380529
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.219238{col 32}{space 2} .1969776{col 43}{space 1}   -6.19{col 52}{space 3}0.000{col 60}{space 4}-1.623402{col 73}{space 3}-.8150729
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     4.22
                                                {txt}Prob > F          = {res}    0.0008
                                                {txt}R-squared         = {res}    0.0269
                                                {txt}Root MSE          =    {res} .65263

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    ideo_ed_gender{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3363152{col 32}{space 2} .1058109{col 43}{space 1}    3.18{col 52}{space 3}0.004{col 60}{space 4} .1192092{col 73}{space 3} .5534211
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2}  .028375{col 32}{space 2} .0527192{col 43}{space 1}    0.54{col 52}{space 3}0.595{col 60}{space 4}-.0797959{col 73}{space 3}  .136546
{txt}{space 15}age {c |}{col 20}{res}{space 2}  .000273{col 32}{space 2} .0011018{col 43}{space 1}    0.25{col 52}{space 3}0.806{col 60}{space 4}-.0019878{col 73}{space 3} .0025337
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0200436{col 32}{space 2}  .004922{col 43}{space 1}   -4.07{col 52}{space 3}0.000{col 60}{space 4}-.0301427{col 73}{space 3}-.0099444
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .0188078{col 32}{space 2} .0382368{col 43}{space 1}    0.49{col 52}{space 3}0.627{col 60}{space 4}-.0596475{col 73}{space 3} .0972632
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0478325{col 32}{space 2} .0375514{col 43}{space 1}   -1.27{col 52}{space 3}0.214{col 60}{space 4}-.1248816{col 73}{space 3} .0292166
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0247155{col 32}{space 2} .0246728{col 43}{space 1}    1.00{col 52}{space 3}0.325{col 60}{space 4}-.0259089{col 73}{space 3} .0753398
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0358642{col 32}{space 2} .0401716{col 43}{space 1}    0.89{col 52}{space 3}0.380{col 60}{space 4} -.046561{col 73}{space 3} .1182895
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0030804{col 32}{space 2} .0460229{col 43}{space 1}    0.07{col 52}{space 3}0.947{col 60}{space 4}-.0913508{col 73}{space 3} .0975116
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0853205{col 32}{space 2} .0906501{col 43}{space 1}    0.94{col 52}{space 3}0.355{col 60}{space 4}-.1006782{col 73}{space 3} .2713192
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0495124{col 32}{space 2} .0710459{col 43}{space 1}    0.70{col 52}{space 3}0.492{col 60}{space 4}-.0962617{col 73}{space 3} .1952866
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0581952{col 32}{space 2} .0702952{col 43}{space 1}   -0.83{col 52}{space 3}0.415{col 60}{space 4}-.2024291{col 73}{space 3} .0860387
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0611656{col 32}{space 2} .0751923{col 43}{space 1}    0.81{col 52}{space 3}0.423{col 60}{space 4}-.0931163{col 73}{space 3} .2154476
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.785292{col 32}{space 2} .1300919{col 43}{space 1}   21.41{col 52}{space 3}0.000{col 60}{space 4} 2.518365{col 73}{space 3} 3.052218
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     7.64
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0282
                                                {txt}Root MSE          =    {res} .60412

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_husbands{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3067835{col 32}{space 2} .1333507{col 43}{space 1}    2.30{col 52}{space 3}0.029{col 60}{space 4} .0331705{col 73}{space 3} .5803965
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2}-.0602541{col 32}{space 2} .0410776{col 43}{space 1}   -1.47{col 52}{space 3}0.154{col 60}{space 4}-.1445384{col 73}{space 3} .0240303
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0034452{col 32}{space 2} .0017495{col 43}{space 1}   -1.97{col 52}{space 3}0.059{col 60}{space 4}-.0070349{col 73}{space 3} .0001445
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} -.013357{col 32}{space 2} .0051631{col 43}{space 1}   -2.59{col 52}{space 3}0.015{col 60}{space 4}-.0239507{col 73}{space 3}-.0027632
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0112601{col 32}{space 2}  .035994{col 43}{space 1}   -0.31{col 52}{space 3}0.757{col 60}{space 4}-.0851137{col 73}{space 3} .0625936
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0431165{col 32}{space 2} .0455551{col 43}{space 1}    0.95{col 52}{space 3}0.352{col 60}{space 4}-.0503549{col 73}{space 3} .1365879
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0037739{col 32}{space 2} .0238973{col 43}{space 1}    0.16{col 52}{space 3}0.876{col 60}{space 4}-.0452593{col 73}{space 3}  .052807
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1529153{col 32}{space 2} .0336487{col 43}{space 1}    4.54{col 52}{space 3}0.000{col 60}{space 4} .0838739{col 73}{space 3} .2219567
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0531648{col 32}{space 2} .0280218{col 43}{space 1}    1.90{col 52}{space 3}0.069{col 60}{space 4}-.0043312{col 73}{space 3} .1106607
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0879831{col 32}{space 2} .0525025{col 43}{space 1}   -1.68{col 52}{space 3}0.105{col 60}{space 4}-.1957095{col 73}{space 3} .0197432
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.0844933{col 32}{space 2} .0388085{col 43}{space 1}   -2.18{col 52}{space 3}0.038{col 60}{space 4}-.1641217{col 73}{space 3}-.0048649
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0565485{col 32}{space 2} .0335432{col 43}{space 1}   -1.69{col 52}{space 3}0.103{col 60}{space 4}-.1253736{col 73}{space 3} .0122765
{txt}{space 14}180  {c |}{col 20}{res}{space 2}   .01794{col 32}{space 2} .0487168{col 43}{space 1}    0.37{col 52}{space 3}0.716{col 60}{space 4}-.0820186{col 73}{space 3} .1178987
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 3.041381{col 32}{space 2} .1238242{col 43}{space 1}   24.56{col 52}{space 3}0.000{col 60}{space 4} 2.787315{col 73}{space 3} 3.295447
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,671
                                                {txt}F(13, 27)         =  {res}     5.06
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0311
                                                {txt}Root MSE          =    {res} .52326

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       ideo_takfir{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.0051917{col 32}{space 2} .0621204{col 43}{space 1}   -0.08{col 52}{space 3}0.934{col 60}{space 4}-.1326521{col 73}{space 3} .1222688
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2} .0058675{col 32}{space 2} .0433328{col 43}{space 1}    0.14{col 52}{space 3}0.893{col 60}{space 4} -.083044{col 73}{space 3} .0947791
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0012972{col 32}{space 2} .0013944{col 43}{space 1}   -0.93{col 52}{space 3}0.360{col 60}{space 4}-.0041582{col 73}{space 3} .0015638
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0128379{col 32}{space 2} .0049455{col 43}{space 1}   -2.60{col 52}{space 3}0.015{col 60}{space 4}-.0229853{col 73}{space 3}-.0026905
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0488314{col 32}{space 2} .0309772{col 43}{space 1}   -1.58{col 52}{space 3}0.127{col 60}{space 4}-.1123914{col 73}{space 3} .0147286
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1340316{col 32}{space 2} .0366363{col 43}{space 1}   -3.66{col 52}{space 3}0.001{col 60}{space 4} -.209203{col 73}{space 3}-.0588601
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0372907{col 32}{space 2} .0220711{col 43}{space 1}    1.69{col 52}{space 3}0.103{col 60}{space 4}-.0079954{col 73}{space 3} .0825768
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0161621{col 32}{space 2} .0309614{col 43}{space 1}    0.52{col 52}{space 3}0.606{col 60}{space 4}-.0473655{col 73}{space 3} .0796897
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0819848{col 32}{space 2} .0345747{col 43}{space 1}   -2.37{col 52}{space 3}0.025{col 60}{space 4}-.1529262{col 73}{space 3}-.0110434
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0456824{col 32}{space 2} .0760055{col 43}{space 1}   -0.60{col 52}{space 3}0.553{col 60}{space 4}-.2016328{col 73}{space 3} .1102681
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0683755{col 32}{space 2} .0368778{col 43}{space 1}    1.85{col 52}{space 3}0.075{col 60}{space 4}-.0072916{col 73}{space 3} .1440425
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1109695{col 32}{space 2} .0637004{col 43}{space 1}    1.74{col 52}{space 3}0.093{col 60}{space 4}-.0197329{col 73}{space 3} .2416719
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0874757{col 32}{space 2} .0615042{col 43}{space 1}    1.42{col 52}{space 3}0.166{col 60}{space 4}-.0387206{col 73}{space 3} .2136719
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.273448{col 32}{space 2} .1234918{col 43}{space 1}   18.41{col 52}{space 3}0.000{col 60}{space 4} 2.020064{col 73}{space 3} 2.526832
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}     9.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0554
                                                {txt}Root MSE          =    {res} .59403

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_violence{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2440305{col 32}{space 2}  .138715{col 43}{space 1}    1.76{col 52}{space 3}0.090{col 60}{space 4}-.0405892{col 73}{space 3} .5286502
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2} .0576046{col 32}{space 2} .0569475{col 43}{space 1}    1.01{col 52}{space 3}0.321{col 60}{space 4}-.0592421{col 73}{space 3} .1744513
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0036621{col 32}{space 2} .0018044{col 43}{space 1}   -2.03{col 52}{space 3}0.052{col 60}{space 4}-.0073644{col 73}{space 3} .0000403
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0295722{col 32}{space 2} .0051097{col 43}{space 1}   -5.79{col 52}{space 3}0.000{col 60}{space 4}-.0400563{col 73}{space 3} -.019088
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}  -.07407{col 32}{space 2} .0411959{col 43}{space 1}   -1.80{col 52}{space 3}0.083{col 60}{space 4}-.1585969{col 73}{space 3}  .010457
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0815395{col 32}{space 2} .0482732{col 43}{space 1}   -1.69{col 52}{space 3}0.103{col 60}{space 4}-.1805879{col 73}{space 3} .0175088
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0068089{col 32}{space 2} .0224962{col 43}{space 1}    0.30{col 52}{space 3}0.764{col 60}{space 4}-.0393496{col 73}{space 3} .0529673
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0037558{col 32}{space 2} .0434642{col 43}{space 1}   -0.09{col 52}{space 3}0.932{col 60}{space 4}-.0929369{col 73}{space 3} .0854253
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0778655{col 32}{space 2}  .049055{col 43}{space 1}   -1.59{col 52}{space 3}0.124{col 60}{space 4}-.1785181{col 73}{space 3} .0227871
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1204908{col 32}{space 2} .0792736{col 43}{space 1}    1.52{col 52}{space 3}0.140{col 60}{space 4}-.0421652{col 73}{space 3} .2831468
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0454519{col 32}{space 2} .0617743{col 43}{space 1}    0.74{col 52}{space 3}0.468{col 60}{space 4}-.0812985{col 73}{space 3} .1722023
{txt}{space 14}150  {c |}{col 20}{res}{space 2}  .021117{col 32}{space 2} .0599159{col 43}{space 1}    0.35{col 52}{space 3}0.727{col 60}{space 4}-.1018202{col 73}{space 3} .1440542
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0968361{col 32}{space 2} .1020287{col 43}{space 1}   -0.95{col 52}{space 3}0.351{col 60}{space 4}-.3061817{col 73}{space 3} .1125095
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.530253{col 32}{space 2} .1623991{col 43}{space 1}   15.58{col 52}{space 3}0.000{col 60}{space 4} 2.197038{col 73}{space 3} 2.863469
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}     9.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0164
                                                {txt}Root MSE          =    {res} .57905

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      ideo_clerics{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1566298{col 32}{space 2} .0785236{col 43}{space 1}    1.99{col 52}{space 3}0.056{col 60}{space 4}-.0044874{col 73}{space 3} .3177469
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2} .0103787{col 32}{space 2} .0482623{col 43}{space 1}    0.22{col 52}{space 3}0.831{col 60}{space 4}-.0886472{col 73}{space 3} .1094047
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0025908{col 32}{space 2} .0011995{col 43}{space 1}    2.16{col 52}{space 3}0.040{col 60}{space 4} .0001296{col 73}{space 3} .0050519
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0059073{col 32}{space 2} .0035146{col 43}{space 1}    1.68{col 52}{space 3}0.104{col 60}{space 4} -.001304{col 73}{space 3} .0131187
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} -.041267{col 32}{space 2} .0344054{col 43}{space 1}   -1.20{col 52}{space 3}0.241{col 60}{space 4} -.111861{col 73}{space 3}  .029327
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0023987{col 32}{space 2} .0435111{col 43}{space 1}    0.06{col 52}{space 3}0.956{col 60}{space 4}-.0868786{col 73}{space 3}  .091676
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0292358{col 32}{space 2} .0227462{col 43}{space 1}    1.29{col 52}{space 3}0.210{col 60}{space 4}-.0174355{col 73}{space 3} .0759072
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1069978{col 32}{space 2} .0404649{col 43}{space 1}    2.64{col 52}{space 3}0.013{col 60}{space 4} .0239707{col 73}{space 3} .1900248
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0122523{col 32}{space 2} .0328214{col 43}{space 1}    0.37{col 52}{space 3}0.712{col 60}{space 4}-.0550917{col 73}{space 3} .0795964
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.1486977{col 32}{space 2} .0462304{col 43}{space 1}   -3.22{col 52}{space 3}0.003{col 60}{space 4}-.2435547{col 73}{space 3}-.0538407
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.1156709{col 32}{space 2} .0539229{col 43}{space 1}   -2.15{col 52}{space 3}0.041{col 60}{space 4}-.2263117{col 73}{space 3}-.0050302
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0683331{col 32}{space 2} .0523791{col 43}{space 1}   -1.30{col 52}{space 3}0.203{col 60}{space 4} -.175806{col 73}{space 3} .0391399
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0719643{col 32}{space 2} .0559313{col 43}{space 1}   -1.29{col 52}{space 3}0.209{col 60}{space 4}-.1867258{col 73}{space 3} .0427971
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.583368{col 32}{space 2} .0861272{col 43}{space 1}   29.99{col 52}{space 3}0.000{col 60}{space 4}  2.40665{col 73}{space 3} 2.760086
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}     1,653
                                                {txt}F(13, 27)         =  {res}    13.14
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0226
                                                {txt}Root MSE          =    {res}  .6353

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_interest{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.1788733{col 32}{space 2} .1342706{col 43}{space 1}   -1.33{col 52}{space 3}0.194{col 60}{space 4}-.4543738{col 73}{space 3} .0966272
{txt}{space 3}never_lived_dem {c |}{col 20}{res}{space 2}-.0913879{col 32}{space 2} .0536168{col 43}{space 1}   -1.70{col 52}{space 3}0.100{col 60}{space 4}-.2014005{col 73}{space 3} .0186246
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0048278{col 32}{space 2} .0014891{col 43}{space 1}   -3.24{col 52}{space 3}0.003{col 60}{space 4}-.0078832{col 73}{space 3}-.0017724
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0031958{col 32}{space 2} .0052918{col 43}{space 1}    0.60{col 52}{space 3}0.551{col 60}{space 4} -.007662{col 73}{space 3} .0140536
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0278315{col 32}{space 2} .0429205{col 43}{space 1}   -0.65{col 52}{space 3}0.522{col 60}{space 4}-.1158971{col 73}{space 3} .0602341
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0023809{col 32}{space 2} .0538562{col 43}{space 1}    0.04{col 52}{space 3}0.965{col 60}{space 4} -.108123{col 73}{space 3} .1128848
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2}-.0008903{col 32}{space 2} .0217478{col 43}{space 1}   -0.04{col 52}{space 3}0.968{col 60}{space 4}-.0455131{col 73}{space 3} .0437325
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0218233{col 32}{space 2} .0329459{col 43}{space 1}   -0.66{col 52}{space 3}0.513{col 60}{space 4}-.0894226{col 73}{space 3}  .045776
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0021424{col 32}{space 2} .0318899{col 43}{space 1}   -0.07{col 52}{space 3}0.947{col 60}{space 4}-.0675751{col 73}{space 3} .0632904
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .162606{col 32}{space 2} .0546672{col 43}{space 1}    2.97{col 52}{space 3}0.006{col 60}{space 4} .0504382{col 73}{space 3} .2747738
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0900073{col 32}{space 2} .0479765{col 43}{space 1}    1.88{col 52}{space 3}0.071{col 60}{space 4}-.0084324{col 73}{space 3}  .188447
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0967759{col 32}{space 2} .0560575{col 43}{space 1}    1.73{col 52}{space 3}0.096{col 60}{space 4}-.0182446{col 73}{space 3} .2117964
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0024236{col 32}{space 2} .0418129{col 43}{space 1}   -0.06{col 52}{space 3}0.954{col 60}{space 4}-.0882165{col 73}{space 3} .0833694
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.880784{col 32}{space 2} .1133308{col 43}{space 1}   25.42{col 52}{space 3}0.000{col 60}{space 4} 2.648249{col 73}{space 3}  3.11332
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}. 
. 
. **TABLE E.1: Effects of housing type on social and religious attitudes (Gulf)
. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.         eststo: reg `outcome' housing_gulf_empl housing_gulf_own age education_years hh_employed_ft married econ_sat male bystander i.district if lived_abroad_gulf==1, cl(location)
{txt}  3{com}.         estimates store `outcome'_3compare
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       102
                                                {txt}F(13, 24)         =  {res}     3.15
                                                {txt}Prob > F          = {res}    0.0073
                                                {txt}R-squared         = {res}    0.2787
                                                {txt}Root MSE          =    {res} .35093

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    extremism_idx{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2}-.1339103{col 31}{space 2}  .169346{col 42}{space 1}   -0.79{col 51}{space 3}0.437{col 59}{space 4}-.4834234{col 72}{space 3} .2156027
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2}-.3018521{col 31}{space 2} .2319681{col 42}{space 1}   -1.30{col 51}{space 3}0.206{col 59}{space 4}-.7806107{col 72}{space 3} .1769066
{txt}{space 14}age {c |}{col 19}{res}{space 2}-.0067139{col 31}{space 2} .0071671{col 42}{space 1}   -0.94{col 51}{space 3}0.358{col 59}{space 4} -.021506{col 72}{space 3} .0080782
{txt}{space 2}education_years {c |}{col 19}{res}{space 2} .0116792{col 31}{space 2}  .014674{col 42}{space 1}    0.80{col 51}{space 3}0.434{col 59}{space 4}-.0186066{col 72}{space 3} .0419649
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2} .0306997{col 31}{space 2} .0654003{col 42}{space 1}    0.47{col 51}{space 3}0.643{col 59}{space 4}-.1042799{col 72}{space 3} .1656794
{txt}{space 10}married {c |}{col 19}{res}{space 2} .1152171{col 31}{space 2} .1332674{col 42}{space 1}    0.86{col 51}{space 3}0.396{col 59}{space 4}-.1598333{col 72}{space 3} .3902675
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2}-.0284971{col 31}{space 2} .0291822{col 42}{space 1}   -0.98{col 51}{space 3}0.339{col 59}{space 4}-.0887262{col 72}{space 3}  .031732
{txt}{space 13}male {c |}{col 19}{res}{space 2}-.3386021{col 31}{space 2}  .153967{col 42}{space 1}   -2.20{col 51}{space 3}0.038{col 59}{space 4}-.6563743{col 72}{space 3}-.0208298
{txt}{space 8}bystander {c |}{col 19}{res}{space 2}-.1587908{col 31}{space 2} .0974537{col 42}{space 1}   -1.63{col 51}{space 3}0.116{col 59}{space 4}-.3599255{col 72}{space 3} .0423438
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2} .2574134{col 31}{space 2} .1073138{col 42}{space 1}    2.40{col 51}{space 3}0.025{col 59}{space 4} .0359285{col 72}{space 3} .4788982
{txt}{space 13}110  {c |}{col 19}{res}{space 2} .2613908{col 31}{space 2} .0996432{col 42}{space 1}    2.62{col 51}{space 3}0.015{col 59}{space 4} .0557373{col 72}{space 3} .4670444
{txt}{space 13}150  {c |}{col 19}{res}{space 2} .0154861{col 31}{space 2} .0838413{col 42}{space 1}    0.18{col 51}{space 3}0.855{col 59}{space 4}-.1575538{col 72}{space 3}  .188526
{txt}{space 13}180  {c |}{col 19}{res}{space 2} .3799416{col 31}{space 2} .1593241{col 42}{space 1}    2.38{col 51}{space 3}0.025{col 59}{space 4} .0511128{col 72}{space 3} .7087705
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .2922735{col 31}{space 2} .4162899{col 42}{space 1}    0.70{col 51}{space 3}0.489{col 59}{space 4}-.5669067{col 72}{space 3} 1.151454
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}       105
                                                {txt}F(13, 24)         =  {res}     9.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2454
                                                {txt}Root MSE          =    {res} .66609

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     religion_idx{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2} .3206176{col 31}{space 2} .1840192{col 42}{space 1}    1.74{col 51}{space 3}0.094{col 59}{space 4}-.0591794{col 72}{space 3} .7004146
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2} .0239323{col 31}{space 2} .3479555{col 42}{space 1}    0.07{col 51}{space 3}0.946{col 59}{space 4}-.6942125{col 72}{space 3}  .742077
{txt}{space 14}age {c |}{col 19}{res}{space 2} .0063411{col 31}{space 2} .0064618{col 42}{space 1}    0.98{col 51}{space 3}0.336{col 59}{space 4}-.0069954{col 72}{space 3} .0196776
{txt}{space 2}education_years {c |}{col 19}{res}{space 2} .0057597{col 31}{space 2} .0267887{col 42}{space 1}    0.22{col 51}{space 3}0.832{col 59}{space 4}-.0495294{col 72}{space 3} .0610487
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2} .0081627{col 31}{space 2} .2012394{col 42}{space 1}    0.04{col 51}{space 3}0.968{col 59}{space 4}-.4071751{col 72}{space 3} .4235004
{txt}{space 10}married {c |}{col 19}{res}{space 2}-.0365592{col 31}{space 2} .2329069{col 42}{space 1}   -0.16{col 51}{space 3}0.877{col 59}{space 4}-.5172555{col 72}{space 3} .4441371
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2}-.0686425{col 31}{space 2} .0780015{col 42}{space 1}   -0.88{col 51}{space 3}0.388{col 59}{space 4}-.2296297{col 72}{space 3} .0923447
{txt}{space 13}male {c |}{col 19}{res}{space 2} .5136441{col 31}{space 2} .1412706{col 42}{space 1}    3.64{col 51}{space 3}0.001{col 59}{space 4} .2220759{col 72}{space 3} .8052124
{txt}{space 8}bystander {c |}{col 19}{res}{space 2}-.0553759{col 31}{space 2} .1416992{col 42}{space 1}   -0.39{col 51}{space 3}0.699{col 59}{space 4}-.3478286{col 72}{space 3} .2370768
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2} .4387137{col 31}{space 2} .1722484{col 42}{space 1}    2.55{col 51}{space 3}0.018{col 59}{space 4} .0832105{col 72}{space 3}  .794217
{txt}{space 13}110  {c |}{col 19}{res}{space 2}  .462312{col 31}{space 2} .2654256{col 42}{space 1}    1.74{col 51}{space 3}0.094{col 59}{space 4}-.0854994{col 72}{space 3} 1.010124
{txt}{space 13}150  {c |}{col 19}{res}{space 2} .3755696{col 31}{space 2} .2251279{col 42}{space 1}    1.67{col 51}{space 3}0.108{col 59}{space 4}-.0890715{col 72}{space 3} .8402106
{txt}{space 13}180  {c |}{col 19}{res}{space 2} .7261152{col 31}{space 2} .2967617{col 42}{space 1}    2.45{col 51}{space 3}0.022{col 59}{space 4} .1136292{col 72}{space 3} 1.338601
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.9530914{col 31}{space 2} .5774699{col 42}{space 1}   -1.65{col 51}{space 3}0.112{col 59}{space 4}-2.144931{col 72}{space 3} .2387479
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}       105
                                                {txt}F(13, 24)         =  {res}     4.95
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.2145
                                                {txt}Root MSE          =    {res} .61228

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   ideo_ed_gender{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2}-.8160179{col 31}{space 2} .2095243{col 42}{space 1}   -3.89{col 51}{space 3}0.001{col 59}{space 4}-1.248455{col 72}{space 3}-.3835811
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2}-.5145189{col 31}{space 2} .2642483{col 42}{space 1}   -1.95{col 51}{space 3}0.063{col 59}{space 4}-1.059901{col 72}{space 3} .0308628
{txt}{space 14}age {c |}{col 19}{res}{space 2}-.0017273{col 31}{space 2} .0074499{col 42}{space 1}   -0.23{col 51}{space 3}0.819{col 59}{space 4} -.017103{col 72}{space 3} .0136485
{txt}{space 2}education_years {c |}{col 19}{res}{space 2} .0013076{col 31}{space 2} .0197107{col 42}{space 1}    0.07{col 51}{space 3}0.948{col 59}{space 4}-.0393733{col 72}{space 3} .0419886
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2} .0926463{col 31}{space 2} .1009144{col 42}{space 1}    0.92{col 51}{space 3}0.368{col 59}{space 4}-.1156308{col 72}{space 3} .3009234
{txt}{space 10}married {c |}{col 19}{res}{space 2} -.052679{col 31}{space 2} .1242626{col 42}{space 1}   -0.42{col 51}{space 3}0.675{col 59}{space 4}-.3091445{col 72}{space 3} .2037864
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2} .0377693{col 31}{space 2} .0765418{col 42}{space 1}    0.49{col 51}{space 3}0.626{col 59}{space 4}-.1202052{col 72}{space 3} .1957437
{txt}{space 13}male {c |}{col 19}{res}{space 2} -.675553{col 31}{space 2} .1898243{col 42}{space 1}   -3.56{col 51}{space 3}0.002{col 59}{space 4}-1.067331{col 72}{space 3}-.2837749
{txt}{space 8}bystander {c |}{col 19}{res}{space 2}  .011998{col 31}{space 2} .1160336{col 42}{space 1}    0.10{col 51}{space 3}0.919{col 59}{space 4}-.2274835{col 72}{space 3} .2514795
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2}-.0335957{col 31}{space 2} .2370107{col 42}{space 1}   -0.14{col 51}{space 3}0.888{col 59}{space 4}-.5227618{col 72}{space 3} .4555704
{txt}{space 13}110  {c |}{col 19}{res}{space 2} .4926542{col 31}{space 2} .1161271{col 42}{space 1}    4.24{col 51}{space 3}0.000{col 59}{space 4} .2529795{col 72}{space 3} .7323288
{txt}{space 13}150  {c |}{col 19}{res}{space 2} .1551717{col 31}{space 2} .1079367{col 42}{space 1}    1.44{col 51}{space 3}0.163{col 59}{space 4}-.0675987{col 72}{space 3} .3779421
{txt}{space 13}180  {c |}{col 19}{res}{space 2} .0763138{col 31}{space 2} .1293462{col 42}{space 1}    0.59{col 51}{space 3}0.561{col 59}{space 4}-.1906436{col 72}{space 3} .3432712
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.410754{col 31}{space 2} .4766264{col 42}{space 1}    7.16{col 51}{space 3}0.000{col 59}{space 4} 2.427046{col 72}{space 3} 4.394463
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}       105
                                                {txt}F(13, 24)         =  {res}     1.53
                                                {txt}Prob > F          = {res}    0.1786
                                                {txt}R-squared         = {res}    0.1159
                                                {txt}Root MSE          =    {res} .63544

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    ideo_husbands{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2}-.1230734{col 31}{space 2} .2753438{col 42}{space 1}   -0.45{col 51}{space 3}0.659{col 59}{space 4}-.6913552{col 72}{space 3} .4452084
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2}-.1421169{col 31}{space 2} .2928254{col 42}{space 1}   -0.49{col 51}{space 3}0.632{col 59}{space 4}-.7464788{col 72}{space 3}  .462245
{txt}{space 14}age {c |}{col 19}{res}{space 2}-.0188305{col 31}{space 2} .0125536{col 42}{space 1}   -1.50{col 51}{space 3}0.147{col 59}{space 4}-.0447399{col 72}{space 3}  .007079
{txt}{space 2}education_years {c |}{col 19}{res}{space 2}-.0371963{col 31}{space 2} .0241412{col 42}{space 1}   -1.54{col 51}{space 3}0.136{col 59}{space 4}-.0870214{col 72}{space 3} .0126287
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2} .0157659{col 31}{space 2} .1377241{col 42}{space 1}    0.11{col 51}{space 3}0.910{col 59}{space 4}-.2684827{col 72}{space 3} .3000146
{txt}{space 10}married {c |}{col 19}{res}{space 2}-.0027822{col 31}{space 2} .2274369{col 42}{space 1}   -0.01{col 51}{space 3}0.990{col 59}{space 4}-.4721888{col 72}{space 3} .4666245
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2}-.0722013{col 31}{space 2} .0676231{col 42}{space 1}   -1.07{col 51}{space 3}0.296{col 59}{space 4}-.2117686{col 72}{space 3}  .067366
{txt}{space 13}male {c |}{col 19}{res}{space 2}-.1704682{col 31}{space 2} .2165976{col 42}{space 1}   -0.79{col 51}{space 3}0.439{col 59}{space 4}-.6175037{col 72}{space 3} .2765674
{txt}{space 8}bystander {c |}{col 19}{res}{space 2}-.2219291{col 31}{space 2} .0923186{col 42}{space 1}   -2.40{col 51}{space 3}0.024{col 59}{space 4}-.4124654{col 72}{space 3}-.0313928
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2} .1601171{col 31}{space 2} .1422741{col 42}{space 1}    1.13{col 51}{space 3}0.272{col 59}{space 4}-.1335222{col 72}{space 3} .4537563
{txt}{space 13}110  {c |}{col 19}{res}{space 2} .1746794{col 31}{space 2} .1516787{col 42}{space 1}    1.15{col 51}{space 3}0.261{col 59}{space 4}  -.13837{col 72}{space 3} .4877288
{txt}{space 13}150  {c |}{col 19}{res}{space 2}-.0592866{col 31}{space 2} .1755904{col 42}{space 1}   -0.34{col 51}{space 3}0.739{col 59}{space 4}-.4216873{col 72}{space 3} .3031142
{txt}{space 13}180  {c |}{col 19}{res}{space 2} .3112434{col 31}{space 2} .3086267{col 42}{space 1}    1.01{col 51}{space 3}0.323{col 59}{space 4}-.3257308{col 72}{space 3} .9482176
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  4.27522{col 31}{space 2} .8007757{col 42}{space 1}    5.34{col 51}{space 3}0.000{col 59}{space 4}   2.6225{col 72}{space 3} 5.927939
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}       105
                                                {txt}F(13, 24)         =  {res}     2.90
                                                {txt}Prob > F          = {res}    0.0116
                                                {txt}R-squared         = {res}    0.1962
                                                {txt}Root MSE          =    {res} .40956

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}      ideo_takfir{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2} .3149881{col 31}{space 2} .1904636{col 42}{space 1}    1.65{col 51}{space 3}0.111{col 59}{space 4}-.0781094{col 72}{space 3} .7080856
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2}-.2551674{col 31}{space 2} .1217716{col 42}{space 1}   -2.10{col 51}{space 3}0.047{col 59}{space 4}-.5064916{col 72}{space 3}-.0038432
{txt}{space 14}age {c |}{col 19}{res}{space 2}-.0061967{col 31}{space 2} .0045059{col 42}{space 1}   -1.38{col 51}{space 3}0.182{col 59}{space 4}-.0154964{col 72}{space 3} .0031031
{txt}{space 2}education_years {c |}{col 19}{res}{space 2} .0246845{col 31}{space 2} .0155284{col 42}{space 1}    1.59{col 51}{space 3}0.125{col 59}{space 4}-.0073646{col 72}{space 3} .0567336
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2} .0079996{col 31}{space 2} .1053513{col 42}{space 1}    0.08{col 51}{space 3}0.940{col 59}{space 4}-.2094348{col 72}{space 3}  .225434
{txt}{space 10}married {c |}{col 19}{res}{space 2}-.1729497{col 31}{space 2} .1147914{col 42}{space 1}   -1.51{col 51}{space 3}0.145{col 59}{space 4}-.4098675{col 72}{space 3} .0639682
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2} .0033917{col 31}{space 2}  .033785{col 42}{space 1}    0.10{col 51}{space 3}0.921{col 59}{space 4} -.066337{col 72}{space 3} .0731205
{txt}{space 13}male {c |}{col 19}{res}{space 2}-.0497975{col 31}{space 2} .1555539{col 42}{space 1}   -0.32{col 51}{space 3}0.752{col 59}{space 4}-.3708449{col 72}{space 3} .2712499
{txt}{space 8}bystander {c |}{col 19}{res}{space 2}-.1657727{col 31}{space 2} .0862043{col 42}{space 1}   -1.92{col 51}{space 3}0.066{col 59}{space 4}-.3436896{col 72}{space 3} .0121441
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2} .0705134{col 31}{space 2} .1150787{col 42}{space 1}    0.61{col 51}{space 3}0.546{col 59}{space 4}-.1669973{col 72}{space 3} .3080242
{txt}{space 13}110  {c |}{col 19}{res}{space 2}-.0278713{col 31}{space 2} .1402395{col 42}{space 1}   -0.20{col 51}{space 3}0.844{col 59}{space 4}-.3173113{col 72}{space 3} .2615687
{txt}{space 13}150  {c |}{col 19}{res}{space 2}-.0775468{col 31}{space 2} .0876548{col 42}{space 1}   -0.88{col 51}{space 3}0.385{col 59}{space 4}-.2584575{col 72}{space 3} .1033638
{txt}{space 13}180  {c |}{col 19}{res}{space 2} .3403931{col 31}{space 2} .2084795{col 42}{space 1}    1.63{col 51}{space 3}0.116{col 59}{space 4}-.0898875{col 72}{space 3} .7706736
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.088356{col 31}{space 2}  .387322{col 42}{space 1}    5.39{col 51}{space 3}0.000{col 59}{space 4} 1.288963{col 72}{space 3}  2.88775
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}       104
                                                {txt}F(13, 24)         =  {res}     4.65
                                                {txt}Prob > F          = {res}    0.0006
                                                {txt}R-squared         = {res}    0.2435
                                                {txt}Root MSE          =    {res}  .5108

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    ideo_violence{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2}-.1608703{col 31}{space 2} .2059867{col 42}{space 1}   -0.78{col 51}{space 3}0.442{col 59}{space 4} -.586006{col 72}{space 3} .2642654
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2}-.5226748{col 31}{space 2}  .285742{col 42}{space 1}   -1.83{col 51}{space 3}0.080{col 59}{space 4}-1.112417{col 72}{space 3} .0670678
{txt}{space 14}age {c |}{col 19}{res}{space 2} .0026818{col 31}{space 2} .0117609{col 42}{space 1}    0.23{col 51}{space 3}0.822{col 59}{space 4}-.0215915{col 72}{space 3} .0269552
{txt}{space 2}education_years {c |}{col 19}{res}{space 2} .0377037{col 31}{space 2} .0233571{col 42}{space 1}    1.61{col 51}{space 3}0.120{col 59}{space 4}-.0105029{col 72}{space 3} .0859103
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2}-.0823161{col 31}{space 2} .1008352{col 42}{space 1}   -0.82{col 51}{space 3}0.422{col 59}{space 4}-.2904298{col 72}{space 3} .1257976
{txt}{space 10}married {c |}{col 19}{res}{space 2}-.0222802{col 31}{space 2} .2183413{col 42}{space 1}   -0.10{col 51}{space 3}0.920{col 59}{space 4}-.4729146{col 72}{space 3} .4283542
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2} .0661155{col 31}{space 2} .0425647{col 42}{space 1}    1.55{col 51}{space 3}0.133{col 59}{space 4}-.0217337{col 72}{space 3} .1539646
{txt}{space 13}male {c |}{col 19}{res}{space 2} -.492755{col 31}{space 2}  .171427{col 42}{space 1}   -2.87{col 51}{space 3}0.008{col 59}{space 4}-.8465629{col 72}{space 3}-.1389471
{txt}{space 8}bystander {c |}{col 19}{res}{space 2}-.1570793{col 31}{space 2} .1179724{col 42}{space 1}   -1.33{col 51}{space 3}0.196{col 59}{space 4}-.4005625{col 72}{space 3} .0864038
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2} .0889659{col 31}{space 2} .1787709{col 42}{space 1}    0.50{col 51}{space 3}0.623{col 59}{space 4}-.2799992{col 72}{space 3}  .457931
{txt}{space 13}110  {c |}{col 19}{res}{space 2}  .079047{col 31}{space 2}  .143644{col 42}{space 1}    0.55{col 51}{space 3}0.587{col 59}{space 4}-.2174196{col 72}{space 3} .3755135
{txt}{space 13}150  {c |}{col 19}{res}{space 2}-.2865691{col 31}{space 2}   .13743{col 42}{space 1}   -2.09{col 51}{space 3}0.048{col 59}{space 4}-.5702107{col 72}{space 3}-.0029275
{txt}{space 13}180  {c |}{col 19}{res}{space 2}-.2759781{col 31}{space 2} .2463348{col 42}{space 1}   -1.12{col 51}{space 3}0.274{col 59}{space 4}-.7843882{col 72}{space 3}  .232432
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 1.890137{col 31}{space 2} .7485418{col 42}{space 1}    2.53{col 51}{space 3}0.019{col 59}{space 4} .3452228{col 72}{space 3} 3.435052
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}       104
                                                {txt}F(13, 24)         =  {res}     4.02
                                                {txt}Prob > F          = {res}    0.0016
                                                {txt}R-squared         = {res}    0.1709
                                                {txt}Root MSE          =    {res} .59287

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     ideo_clerics{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2} .0600342{col 31}{space 2} .2627966{col 42}{space 1}    0.23{col 51}{space 3}0.821{col 59}{space 4}-.4823513{col 72}{space 3} .6024197
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2}-.3354558{col 31}{space 2} .4355527{col 42}{space 1}   -0.77{col 51}{space 3}0.449{col 59}{space 4}-1.234392{col 72}{space 3} .5634807
{txt}{space 14}age {c |}{col 19}{res}{space 2} .0048897{col 31}{space 2}  .006921{col 42}{space 1}    0.71{col 51}{space 3}0.487{col 59}{space 4}-.0093945{col 72}{space 3} .0191739
{txt}{space 2}education_years {c |}{col 19}{res}{space 2} .0035716{col 31}{space 2} .0274936{col 42}{space 1}    0.13{col 51}{space 3}0.898{col 59}{space 4}-.0531723{col 72}{space 3} .0603155
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2}-.0587832{col 31}{space 2} .1209379{col 42}{space 1}   -0.49{col 51}{space 3}0.631{col 59}{space 4}-.3083867{col 72}{space 3} .1908203
{txt}{space 10}married {c |}{col 19}{res}{space 2} .3834824{col 31}{space 2} .1178257{col 42}{space 1}    3.25{col 51}{space 3}0.003{col 59}{space 4}  .140302{col 72}{space 3} .6266628
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2}-.1439076{col 31}{space 2} .0670399{col 42}{space 1}   -2.15{col 51}{space 3}0.042{col 59}{space 4}-.2822711{col 72}{space 3} -.005544
{txt}{space 13}male {c |}{col 19}{res}{space 2} .0943816{col 31}{space 2} .1637831{col 42}{space 1}    0.58{col 51}{space 3}0.570{col 59}{space 4}-.2436502{col 72}{space 3} .4324134
{txt}{space 8}bystander {c |}{col 19}{res}{space 2} .2406663{col 31}{space 2} .1512432{col 42}{space 1}    1.59{col 51}{space 3}0.125{col 59}{space 4}-.0714844{col 72}{space 3}  .552817
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2} .0723765{col 31}{space 2} .1497912{col 42}{space 1}    0.48{col 51}{space 3}0.633{col 59}{space 4}-.2367773{col 72}{space 3} .3815303
{txt}{space 13}110  {c |}{col 19}{res}{space 2}-.2632513{col 31}{space 2} .2349815{col 42}{space 1}   -1.12{col 51}{space 3}0.274{col 59}{space 4}-.7482293{col 72}{space 3} .2217267
{txt}{space 13}150  {c |}{col 19}{res}{space 2}-.1323935{col 31}{space 2} .1431948{col 42}{space 1}   -0.92{col 51}{space 3}0.364{col 59}{space 4} -.427933{col 72}{space 3} .1631461
{txt}{space 13}180  {c |}{col 19}{res}{space 2} .1659956{col 31}{space 2} .2405497{col 42}{space 1}    0.69{col 51}{space 3}0.497{col 59}{space 4}-.3304746{col 72}{space 3} .6624658
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.418552{col 31}{space 2} .4413425{col 42}{space 1}    5.48{col 51}{space 3}0.000{col 59}{space 4} 1.507666{col 72}{space 3} 3.329438
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}       105
                                                {txt}F(13, 24)         =  {res}     6.32
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.1963
                                                {txt}Root MSE          =    {res} .59817

{txt}{ralign 83:(Std. Err. adjusted for {res:25} clusters in location)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    ideo_interest{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_gulf_empl {c |}{col 19}{res}{space 2} .0741273{col 31}{space 2} .1768506{col 42}{space 1}    0.42{col 51}{space 3}0.679{col 59}{space 4}-.2908743{col 72}{space 3}  .439129
{txt}{space 1}housing_gulf_own {c |}{col 19}{res}{space 2}-.0066226{col 31}{space 2} .1613613{col 42}{space 1}   -0.04{col 51}{space 3}0.968{col 59}{space 4}-.3396559{col 72}{space 3} .3264107
{txt}{space 14}age {c |}{col 19}{res}{space 2}-.0090832{col 31}{space 2} .0052895{col 42}{space 1}   -1.72{col 51}{space 3}0.099{col 59}{space 4}-.0200002{col 72}{space 3} .0018339
{txt}{space 2}education_years {c |}{col 19}{res}{space 2} .0413854{col 31}{space 2} .0256092{col 42}{space 1}    1.62{col 51}{space 3}0.119{col 59}{space 4}-.0114693{col 72}{space 3} .0942401
{txt}{space 3}hh_employed_ft {c |}{col 19}{res}{space 2} .1463968{col 31}{space 2}  .103795{col 42}{space 1}    1.41{col 51}{space 3}0.171{col 59}{space 4}-.0678255{col 72}{space 3} .3606191
{txt}{space 10}married {c |}{col 19}{res}{space 2} -.059075{col 31}{space 2} .1977083{col 42}{space 1}   -0.30{col 51}{space 3}0.768{col 59}{space 4} -.467125{col 72}{space 3}  .348975
{txt}{space 9}econ_sat {c |}{col 19}{res}{space 2} .0109277{col 31}{space 2} .0742094{col 42}{space 1}    0.15{col 51}{space 3}0.884{col 59}{space 4} -.142233{col 72}{space 3} .1640884
{txt}{space 13}male {c |}{col 19}{res}{space 2}-.3733277{col 31}{space 2} .1432703{col 42}{space 1}   -2.61{col 51}{space 3}0.016{col 59}{space 4} -.669023{col 72}{space 3}-.0776324
{txt}{space 8}bystander {c |}{col 19}{res}{space 2}-.0207547{col 31}{space 2} .1311613{col 42}{space 1}   -0.16{col 51}{space 3}0.876{col 59}{space 4}-.2914583{col 72}{space 3}  .249949
{txt}{space 17} {c |}
{space 9}district {c |}
{space 13}101  {c |}{col 19}{res}{space 2} .3963605{col 31}{space 2} .1301989{col 42}{space 1}    3.04{col 51}{space 3}0.006{col 59}{space 4} .1276431{col 72}{space 3} .6650779
{txt}{space 13}110  {c |}{col 19}{res}{space 2} .3374948{col 31}{space 2} .1243818{col 42}{space 1}    2.71{col 51}{space 3}0.012{col 59}{space 4} .0807834{col 72}{space 3} .5942062
{txt}{space 13}150  {c |}{col 19}{res}{space 2} .2806427{col 31}{space 2} .1929315{col 42}{space 1}    1.45{col 51}{space 3}0.159{col 59}{space 4}-.1175484{col 72}{space 3} .6788337
{txt}{space 13}180  {c |}{col 19}{res}{space 2} .6302306{col 31}{space 2} .2645628{col 42}{space 1}    2.38{col 51}{space 3}0.025{col 59}{space 4} .0841997{col 72}{space 3} 1.176261
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.498591{col 31}{space 2} .4067736{col 42}{space 1}    6.14{col 51}{space 3}0.000{col 59}{space 4} 1.659051{col 72}{space 3}  3.33813
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}. esttab using "IND22_3compare_gulf_h.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("Fundament." "Relig. Behav." "Edu. Men" "Husbands" "Takfir" "Violence" "Clerics" "Interest") label keep(housing_gulf_empl housing_gulf_own age education_years hh_employed_ft married econ_sat male bystander) title(Effects of housing type on social and religious attitudes \label{c -(}tab:3comparegulfH{c )-}) note(OLS with village-clustered SE in parentheses. Includes village fixed effects.) replace   
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_3compare_gulf_h.tex"'})

{com}. 
. 
. **TABLE E.2: Effects of housing type on social and religious attitudes (all)    
. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.         eststo: reg `outcome' housing_abroad_empl housing_abroad_own age education_years hh_employed_ft married econ_sat male bystander i.district if lived_abroad==1, cl(location)
{txt}  3{com}.         estimates store `outcome'_3compare
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       257
                                                {txt}F(13, 27)         =  {res}     6.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0929
                                                {txt}Root MSE          =    {res} .39444

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}      extremism_idx{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2}-.1521099{col 33}{space 2}  .089021{col 44}{space 1}   -1.71{col 53}{space 3}0.099{col 61}{space 4} -.334766{col 74}{space 3} .0305461
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2}-.0188457{col 33}{space 2} .1168321{col 44}{space 1}   -0.16{col 53}{space 3}0.873{col 61}{space 4}-.2585654{col 74}{space 3}  .220874
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0049601{col 33}{space 2} .0040526{col 44}{space 1}   -1.22{col 53}{space 3}0.232{col 61}{space 4}-.0132752{col 74}{space 3} .0033551
{txt}{space 4}education_years {c |}{col 21}{res}{space 2}-.0029113{col 33}{space 2} .0070287{col 44}{space 1}   -0.41{col 53}{space 3}0.682{col 61}{space 4} -.017333{col 74}{space 3} .0115105
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2}-.0503529{col 33}{space 2} .0570573{col 44}{space 1}   -0.88{col 53}{space 3}0.385{col 61}{space 4}-.1674249{col 74}{space 3} .0667191
{txt}{space 12}married {c |}{col 21}{res}{space 2}-.0206748{col 33}{space 2} .0954704{col 44}{space 1}   -0.22{col 53}{space 3}0.830{col 61}{space 4}-.2165638{col 74}{space 3} .1752143
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2}-.0918107{col 33}{space 2} .0439064{col 44}{space 1}   -2.09{col 53}{space 3}0.046{col 61}{space 4}-.1818992{col 74}{space 3}-.0017221
{txt}{space 15}male {c |}{col 21}{res}{space 2}-.0957497{col 33}{space 2} .0816309{col 44}{space 1}   -1.17{col 53}{space 3}0.251{col 61}{space 4}-.2632425{col 74}{space 3}  .071743
{txt}{space 10}bystander {c |}{col 21}{res}{space 2} -.036452{col 33}{space 2} .0512006{col 44}{space 1}   -0.71{col 53}{space 3}0.483{col 61}{space 4}-.1415071{col 74}{space 3}  .068603
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2} .2184608{col 33}{space 2} .0686518{col 44}{space 1}    3.18{col 53}{space 3}0.004{col 61}{space 4}  .077599{col 74}{space 3} .3593226
{txt}{space 15}110  {c |}{col 21}{res}{space 2} .1117874{col 33}{space 2} .0709377{col 44}{space 1}    1.58{col 53}{space 3}0.127{col 61}{space 4}-.0337648{col 74}{space 3} .2573396
{txt}{space 15}150  {c |}{col 21}{res}{space 2} .1116281{col 33}{space 2} .0707891{col 44}{space 1}    1.58{col 53}{space 3}0.126{col 61}{space 4}-.0336192{col 74}{space 3} .2568754
{txt}{space 15}180  {c |}{col 21}{res}{space 2}  .220279{col 33}{space 2}  .078533{col 44}{space 1}    2.80{col 53}{space 3}0.009{col 61}{space 4} .0591426{col 74}{space 3} .3814154
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .5315182{col 33}{space 2}  .208298{col 44}{space 1}    2.55{col 53}{space 3}0.017{col 61}{space 4}  .104126{col 74}{space 3} .9589105
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}       266
                                                {txt}F(13, 27)         =  {res}     5.16
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.1890
                                                {txt}Root MSE          =    {res} .64292

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       religion_idx{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2} .0296797{col 33}{space 2} .1550138{col 44}{space 1}    0.19{col 53}{space 3}0.850{col 61}{space 4}-.2883823{col 74}{space 3} .3477417
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2}-.0963528{col 33}{space 2}  .185474{col 44}{space 1}   -0.52{col 53}{space 3}0.608{col 61}{space 4}-.4769141{col 74}{space 3} .2842085
{txt}{space 16}age {c |}{col 21}{res}{space 2} .0086956{col 33}{space 2} .0033775{col 44}{space 1}    2.57{col 53}{space 3}0.016{col 61}{space 4} .0017656{col 74}{space 3} .0156255
{txt}{space 4}education_years {c |}{col 21}{res}{space 2}-.0095061{col 33}{space 2} .0159547{col 44}{space 1}   -0.60{col 53}{space 3}0.556{col 61}{space 4}-.0422424{col 74}{space 3} .0232303
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2} .0848263{col 33}{space 2} .1065032{col 44}{space 1}    0.80{col 53}{space 3}0.433{col 61}{space 4}-.1337002{col 74}{space 3} .3033528
{txt}{space 12}married {c |}{col 21}{res}{space 2} .0754921{col 33}{space 2} .1426449{col 44}{space 1}    0.53{col 53}{space 3}0.601{col 61}{space 4}-.2171912{col 74}{space 3} .3681754
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2}-.0447817{col 33}{space 2} .0482683{col 44}{space 1}   -0.93{col 53}{space 3}0.362{col 61}{space 4}-.1438201{col 74}{space 3} .0542568
{txt}{space 15}male {c |}{col 21}{res}{space 2}  .258779{col 33}{space 2} .1363507{col 44}{space 1}    1.90{col 53}{space 3}0.068{col 61}{space 4}-.0209896{col 74}{space 3} .5385476
{txt}{space 10}bystander {c |}{col 21}{res}{space 2} .0763944{col 33}{space 2} .1116451{col 44}{space 1}    0.68{col 53}{space 3}0.500{col 61}{space 4}-.1526824{col 74}{space 3} .3054713
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2} .4626508{col 33}{space 2}  .135706{col 44}{space 1}    3.41{col 53}{space 3}0.002{col 61}{space 4} .1842052{col 74}{space 3} .7410964
{txt}{space 15}110  {c |}{col 21}{res}{space 2}  .434082{col 33}{space 2} .1701989{col 44}{space 1}    2.55{col 53}{space 3}0.017{col 61}{space 4} .0848627{col 74}{space 3} .7833012
{txt}{space 15}150  {c |}{col 21}{res}{space 2} .3935157{col 33}{space 2} .1398633{col 44}{space 1}    2.81{col 53}{space 3}0.009{col 61}{space 4} .1065399{col 74}{space 3} .6804915
{txt}{space 15}180  {c |}{col 21}{res}{space 2} .5904343{col 33}{space 2} .1503265{col 44}{space 1}    3.93{col 53}{space 3}0.001{col 61}{space 4} .2819898{col 74}{space 3} .8988787
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.9222191{col 33}{space 2}  .265566{col 44}{space 1}   -3.47{col 53}{space 3}0.002{col 61}{space 4}-1.467116{col 74}{space 3}-.3773227
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}       266
                                                {txt}F(13, 27)         =  {res}     2.05
                                                {txt}Prob > F          = {res}    0.0565
                                                {txt}R-squared         = {res}    0.0534
                                                {txt}Root MSE          =    {res} .64145

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     ideo_ed_gender{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2}-.1559833{col 33}{space 2} .1585324{col 44}{space 1}   -0.98{col 53}{space 3}0.334{col 61}{space 4}-.4812649{col 74}{space 3} .1692983
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2} .0745509{col 33}{space 2} .1861193{col 44}{space 1}    0.40{col 53}{space 3}0.692{col 61}{space 4}-.3073344{col 74}{space 3} .4564362
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0014209{col 33}{space 2} .0044806{col 44}{space 1}   -0.32{col 53}{space 3}0.754{col 61}{space 4}-.0106144{col 74}{space 3} .0077725
{txt}{space 4}education_years {c |}{col 21}{res}{space 2}-.0255382{col 33}{space 2} .0147203{col 44}{space 1}   -1.73{col 53}{space 3}0.094{col 61}{space 4}-.0557418{col 74}{space 3} .0046653
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2} .0671965{col 33}{space 2} .0992078{col 44}{space 1}    0.68{col 53}{space 3}0.504{col 61}{space 4} -.136361{col 74}{space 3} .2707541
{txt}{space 12}married {c |}{col 21}{res}{space 2} .0482395{col 33}{space 2} .1071245{col 44}{space 1}    0.45{col 53}{space 3}0.656{col 61}{space 4}-.1715618{col 74}{space 3} .2680408
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2}-.0708089{col 33}{space 2} .0498609{col 44}{space 1}   -1.42{col 53}{space 3}0.167{col 61}{space 4} -.173115{col 74}{space 3} .0314971
{txt}{space 15}male {c |}{col 21}{res}{space 2}-.1555032{col 33}{space 2} .1869633{col 44}{space 1}   -0.83{col 53}{space 3}0.413{col 61}{space 4}-.5391201{col 74}{space 3} .2281138
{txt}{space 10}bystander {c |}{col 21}{res}{space 2} .0513578{col 33}{space 2} .0716757{col 44}{space 1}    0.72{col 53}{space 3}0.480{col 61}{space 4}-.0957087{col 74}{space 3} .1984242
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2} .1435426{col 33}{space 2} .1187239{col 44}{space 1}    1.21{col 53}{space 3}0.237{col 61}{space 4}-.1000587{col 74}{space 3} .3871438
{txt}{space 15}110  {c |}{col 21}{res}{space 2} .2821727{col 33}{space 2} .0958807{col 44}{space 1}    2.94{col 53}{space 3}0.007{col 61}{space 4} .0854417{col 74}{space 3} .4789037
{txt}{space 15}150  {c |}{col 21}{res}{space 2} .2310695{col 33}{space 2} .0982555{col 44}{space 1}    2.35{col 53}{space 3}0.026{col 61}{space 4}  .029466{col 74}{space 3} .4326731
{txt}{space 15}180  {c |}{col 21}{res}{space 2} .3105984{col 33}{space 2}  .134676{col 44}{space 1}    2.31{col 53}{space 3}0.029{col 61}{space 4} .0342661{col 74}{space 3} .5869307
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.996989{col 33}{space 2} .2685975{col 44}{space 1}   11.16{col 53}{space 3}0.000{col 61}{space 4} 2.445872{col 74}{space 3} 3.548105
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}       266
                                                {txt}F(13, 27)         =  {res}     2.68
                                                {txt}Prob > F          = {res}    0.0148
                                                {txt}R-squared         = {res}    0.0709
                                                {txt}Root MSE          =    {res} .62128

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}      ideo_husbands{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2}-.2524148{col 33}{space 2} .1286696{col 44}{space 1}   -1.96{col 53}{space 3}0.060{col 61}{space 4}-.5164231{col 74}{space 3} .0115935
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2} .0852805{col 33}{space 2} .1133059{col 44}{space 1}    0.75{col 53}{space 3}0.458{col 61}{space 4}-.1472039{col 74}{space 3} .3177649
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0027619{col 33}{space 2} .0065505{col 44}{space 1}   -0.42{col 53}{space 3}0.677{col 61}{space 4}-.0162026{col 74}{space 3} .0106787
{txt}{space 4}education_years {c |}{col 21}{res}{space 2}-.0278386{col 33}{space 2} .0134095{col 44}{space 1}   -2.08{col 53}{space 3}0.048{col 61}{space 4}-.0553525{col 74}{space 3}-.0003246
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2}-.0538297{col 33}{space 2} .0927279{col 44}{space 1}   -0.58{col 53}{space 3}0.566{col 61}{space 4}-.2440916{col 74}{space 3} .1364321
{txt}{space 12}married {c |}{col 21}{res}{space 2} .0399736{col 33}{space 2} .1127866{col 44}{space 1}    0.35{col 53}{space 3}0.726{col 61}{space 4}-.1914455{col 74}{space 3} .2713926
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2}-.0893115{col 33}{space 2} .0486326{col 44}{space 1}   -1.84{col 53}{space 3}0.077{col 61}{space 4}-.1890973{col 74}{space 3} .0104743
{txt}{space 15}male {c |}{col 21}{res}{space 2}-.0302273{col 33}{space 2}  .125309{col 44}{space 1}   -0.24{col 53}{space 3}0.811{col 61}{space 4}-.2873402{col 74}{space 3} .2268856
{txt}{space 10}bystander {c |}{col 21}{res}{space 2}-.0285842{col 33}{space 2} .0599606{col 44}{space 1}   -0.48{col 53}{space 3}0.637{col 61}{space 4}-.1516133{col 74}{space 3} .0944449
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2} .0824577{col 33}{space 2} .0856085{col 44}{space 1}    0.96{col 53}{space 3}0.344{col 61}{space 4}-.0931964{col 74}{space 3} .2581119
{txt}{space 15}110  {c |}{col 21}{res}{space 2}  .089846{col 33}{space 2}  .086674{col 44}{space 1}    1.04{col 53}{space 3}0.309{col 61}{space 4}-.0879943{col 74}{space 3} .2676864
{txt}{space 15}150  {c |}{col 21}{res}{space 2} .0507783{col 33}{space 2} .1106486{col 44}{space 1}    0.46{col 53}{space 3}0.650{col 61}{space 4}-.1762539{col 74}{space 3} .2778104
{txt}{space 15}180  {c |}{col 21}{res}{space 2} .2367991{col 33}{space 2} .1080096{col 44}{space 1}    2.19{col 53}{space 3}0.037{col 61}{space 4} .0151818{col 74}{space 3} .4584164
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  3.46388{col 33}{space 2} .3888827{col 44}{space 1}    8.91{col 53}{space 3}0.000{col 61}{space 4} 2.665959{col 74}{space 3} 4.261802
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}       265
                                                {txt}F(13, 27)         =  {res}    10.02
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1174
                                                {txt}Root MSE          =    {res}  .4764

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}        ideo_takfir{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2}-.0078951{col 33}{space 2} .1155352{col 44}{space 1}   -0.07{col 53}{space 3}0.946{col 61}{space 4}-.2449538{col 74}{space 3} .2291636
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2} .0028597{col 33}{space 2} .1397312{col 44}{space 1}    0.02{col 53}{space 3}0.984{col 61}{space 4}-.2838451{col 74}{space 3} .2895644
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0095554{col 33}{space 2} .0042145{col 44}{space 1}   -2.27{col 53}{space 3}0.032{col 61}{space 4}-.0182028{col 74}{space 3} -.000908
{txt}{space 4}education_years {c |}{col 21}{res}{space 2}-.0164783{col 33}{space 2}  .012817{col 44}{space 1}   -1.29{col 53}{space 3}0.209{col 61}{space 4}-.0427766{col 74}{space 3}   .00982
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2}-.0992915{col 33}{space 2} .0597305{col 44}{space 1}   -1.66{col 53}{space 3}0.108{col 61}{space 4}-.2218483{col 74}{space 3} .0232653
{txt}{space 12}married {c |}{col 21}{res}{space 2}-.2077006{col 33}{space 2} .1150452{col 44}{space 1}   -1.81{col 53}{space 3}0.082{col 61}{space 4} -.443754{col 74}{space 3} .0283527
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2}-.0771072{col 33}{space 2} .0424145{col 44}{space 1}   -1.82{col 53}{space 3}0.080{col 61}{space 4}-.1641346{col 74}{space 3} .0099201
{txt}{space 15}male {c |}{col 21}{res}{space 2} .0790415{col 33}{space 2} .1134106{col 44}{space 1}    0.70{col 53}{space 3}0.492{col 61}{space 4}-.1536578{col 74}{space 3} .3117409
{txt}{space 10}bystander {c |}{col 21}{res}{space 2}-.1668994{col 33}{space 2} .0469432{col 44}{space 1}   -3.56{col 53}{space 3}0.001{col 61}{space 4} -.263219{col 74}{space 3}-.0705799
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2} .1051151{col 33}{space 2} .1075669{col 44}{space 1}    0.98{col 53}{space 3}0.337{col 61}{space 4}-.1155939{col 74}{space 3} .3258242
{txt}{space 15}110  {c |}{col 21}{res}{space 2} .2292843{col 33}{space 2} .0622067{col 44}{space 1}    3.69{col 53}{space 3}0.001{col 61}{space 4} .1016466{col 74}{space 3} .3569219
{txt}{space 15}150  {c |}{col 21}{res}{space 2} .1663628{col 33}{space 2} .0928273{col 44}{space 1}    1.79{col 53}{space 3}0.084{col 61}{space 4}-.0241031{col 74}{space 3} .3568288
{txt}{space 15}180  {c |}{col 21}{res}{space 2} .2877506{col 33}{space 2} .0599203{col 44}{space 1}    4.80{col 53}{space 3}0.000{col 61}{space 4} .1648043{col 74}{space 3}  .410697
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.951682{col 33}{space 2} .3111593{col 44}{space 1}    9.49{col 53}{space 3}0.000{col 61}{space 4} 2.313236{col 74}{space 3} 3.590128
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}       265
                                                {txt}F(13, 27)         =  {res}     4.53
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.0883
                                                {txt}Root MSE          =    {res} .59774

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}      ideo_violence{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2}-.2832679{col 33}{space 2} .0961904{col 44}{space 1}   -2.94{col 53}{space 3}0.007{col 61}{space 4}-.4806342{col 74}{space 3}-.0859015
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2}-.1287329{col 33}{space 2} .1534907{col 44}{space 1}   -0.84{col 53}{space 3}0.409{col 61}{space 4}-.4436698{col 74}{space 3}  .186204
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0058975{col 33}{space 2} .0049217{col 44}{space 1}   -1.20{col 53}{space 3}0.241{col 61}{space 4} -.015996{col 74}{space 3} .0042009
{txt}{space 4}education_years {c |}{col 21}{res}{space 2}-.0124759{col 33}{space 2} .0126119{col 44}{space 1}   -0.99{col 53}{space 3}0.331{col 61}{space 4}-.0383534{col 74}{space 3} .0134015
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2}-.1690738{col 33}{space 2} .0637997{col 44}{space 1}   -2.65{col 53}{space 3}0.013{col 61}{space 4}-.2999799{col 74}{space 3}-.0381677
{txt}{space 12}married {c |}{col 21}{res}{space 2}-.0953779{col 33}{space 2} .1434072{col 44}{space 1}   -0.67{col 53}{space 3}0.512{col 61}{space 4}-.3896251{col 74}{space 3} .1988693
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2} .0125421{col 33}{space 2}  .048121{col 44}{space 1}    0.26{col 53}{space 3}0.796{col 61}{space 4}-.0861941{col 74}{space 3} .1112783
{txt}{space 15}male {c |}{col 21}{res}{space 2}-.2851373{col 33}{space 2} .1041237{col 44}{space 1}   -2.74{col 53}{space 3}0.011{col 61}{space 4}-.4987814{col 74}{space 3}-.0714931
{txt}{space 10}bystander {c |}{col 21}{res}{space 2} -.108682{col 33}{space 2} .1068215{col 44}{space 1}   -1.02{col 53}{space 3}0.318{col 61}{space 4}-.3278615{col 74}{space 3} .1104976
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2} .1987753{col 33}{space 2} .2373837{col 44}{space 1}    0.84{col 53}{space 3}0.410{col 61}{space 4}-.2882957{col 74}{space 3} .6858463
{txt}{space 15}110  {c |}{col 21}{res}{space 2} .0389466{col 33}{space 2} .1448411{col 44}{space 1}    0.27{col 53}{space 3}0.790{col 61}{space 4}-.2582428{col 74}{space 3}  .336136
{txt}{space 15}150  {c |}{col 21}{res}{space 2}-.0041613{col 33}{space 2} .1236691{col 44}{space 1}   -0.03{col 53}{space 3}0.973{col 61}{space 4}-.2579094{col 74}{space 3} .2495868
{txt}{space 15}180  {c |}{col 21}{res}{space 2}-.1375435{col 33}{space 2} .1714369{col 44}{space 1}   -0.80{col 53}{space 3}0.429{col 61}{space 4}-.4893029{col 74}{space 3} .2142159
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.832876{col 33}{space 2} .2879199{col 44}{space 1}    9.84{col 53}{space 3}0.000{col 61}{space 4} 2.242114{col 74}{space 3} 3.423639
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}       265
                                                {txt}F(13, 27)         =  {res}     2.08
                                                {txt}Prob > F          = {res}    0.0526
                                                {txt}R-squared         = {res}    0.0799
                                                {txt}Root MSE          =    {res} .58204

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       ideo_clerics{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2} .0322211{col 33}{space 2} .1171359{col 44}{space 1}    0.28{col 53}{space 3}0.785{col 61}{space 4}-.2081219{col 74}{space 3} .2725641
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2}-.0692878{col 33}{space 2} .1636456{col 44}{space 1}   -0.42{col 53}{space 3}0.675{col 61}{space 4}-.4050608{col 74}{space 3} .2664852
{txt}{space 16}age {c |}{col 21}{res}{space 2} .0083908{col 33}{space 2} .0047868{col 44}{space 1}    1.75{col 53}{space 3}0.091{col 61}{space 4}-.0014309{col 74}{space 3} .0182125
{txt}{space 4}education_years {c |}{col 21}{res}{space 2} .0029419{col 33}{space 2} .0124938{col 44}{space 1}    0.24{col 53}{space 3}0.816{col 61}{space 4}-.0226932{col 74}{space 3}  .028577
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2}-.0614823{col 33}{space 2} .0900158{col 44}{space 1}   -0.68{col 53}{space 3}0.500{col 61}{space 4}-.2461795{col 74}{space 3} .1232149
{txt}{space 12}married {c |}{col 21}{res}{space 2} .2746585{col 33}{space 2} .1130622{col 44}{space 1}    2.43{col 53}{space 3}0.022{col 61}{space 4}  .042674{col 74}{space 3}  .506643
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2}-.0858519{col 33}{space 2} .0415559{col 44}{space 1}   -2.07{col 53}{space 3}0.049{col 61}{space 4}-.1711176{col 74}{space 3}-.0005862
{txt}{space 15}male {c |}{col 21}{res}{space 2} .1191528{col 33}{space 2} .0893728{col 44}{space 1}    1.33{col 53}{space 3}0.194{col 61}{space 4}-.0642251{col 74}{space 3} .3025307
{txt}{space 10}bystander {c |}{col 21}{res}{space 2} .1468395{col 33}{space 2} .0742871{col 44}{space 1}    1.98{col 53}{space 3}0.058{col 61}{space 4}-.0055851{col 74}{space 3}  .299264
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2}  .005641{col 33}{space 2} .0663706{col 44}{space 1}    0.08{col 53}{space 3}0.933{col 61}{space 4}-.1305402{col 74}{space 3} .1418222
{txt}{space 15}110  {c |}{col 21}{res}{space 2}-.2192315{col 33}{space 2} .1166458{col 44}{space 1}   -1.88{col 53}{space 3}0.071{col 61}{space 4} -.458569{col 74}{space 3}  .020106
{txt}{space 15}150  {c |}{col 21}{res}{space 2}-.0622437{col 33}{space 2} .0679669{col 44}{space 1}   -0.92{col 53}{space 3}0.368{col 61}{space 4}-.2017002{col 74}{space 3} .0772128
{txt}{space 15}180  {c |}{col 21}{res}{space 2} .0007313{col 33}{space 2} .1617784{col 44}{space 1}    0.00{col 53}{space 3}0.996{col 61}{space 4}-.3312105{col 74}{space 3} .3326731
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.269377{col 33}{space 2} .3097048{col 44}{space 1}    7.33{col 53}{space 3}0.000{col 61}{space 4} 1.633915{col 74}{space 3} 2.904839
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}       265
                                                {txt}F(13, 27)         =  {res}     4.67
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.0885
                                                {txt}Root MSE          =    {res} .59466

{txt}{ralign 85:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}      ideo_interest{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
housing_abroad_empl {c |}{col 21}{res}{space 2}-.0505645{col 33}{space 2} .0907839{col 44}{space 1}   -0.56{col 53}{space 3}0.582{col 61}{space 4}-.2368376{col 74}{space 3} .1357087
{txt}{space 1}housing_abroad_own {c |}{col 21}{res}{space 2} .1679394{col 33}{space 2} .1333967{col 44}{space 1}    1.26{col 53}{space 3}0.219{col 61}{space 4}-.1057681{col 74}{space 3} .4416469
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0069555{col 33}{space 2} .0037522{col 44}{space 1}   -1.85{col 53}{space 3}0.075{col 61}{space 4}-.0146543{col 74}{space 3} .0007434
{txt}{space 4}education_years {c |}{col 21}{res}{space 2} .0211424{col 33}{space 2} .0101462{col 44}{space 1}    2.08{col 53}{space 3}0.047{col 61}{space 4} .0003241{col 74}{space 3} .0419606
{txt}{space 5}hh_employed_ft {c |}{col 21}{res}{space 2} .0532844{col 33}{space 2} .0642212{col 44}{space 1}    0.83{col 53}{space 3}0.414{col 61}{space 4}-.0784866{col 74}{space 3} .1850554
{txt}{space 12}married {c |}{col 21}{res}{space 2}-.0680037{col 33}{space 2} .1294995{col 44}{space 1}   -0.53{col 53}{space 3}0.604{col 61}{space 4}-.3337146{col 74}{space 3} .1977073
{txt}{space 11}econ_sat {c |}{col 21}{res}{space 2} -.023113{col 33}{space 2} .0693855{col 44}{space 1}   -0.33{col 53}{space 3}0.742{col 61}{space 4}-.1654803{col 74}{space 3} .1192542
{txt}{space 15}male {c |}{col 21}{res}{space 2}-.1764351{col 33}{space 2} .0921397{col 44}{space 1}   -1.91{col 53}{space 3}0.066{col 61}{space 4}  -.36549{col 74}{space 3} .0126199
{txt}{space 10}bystander {c |}{col 21}{res}{space 2}  .030336{col 33}{space 2} .0884824{col 44}{space 1}    0.34{col 53}{space 3}0.734{col 61}{space 4}-.1512149{col 74}{space 3} .2118869
{txt}{space 19} {c |}
{space 11}district {c |}
{space 15}101  {c |}{col 21}{res}{space 2} .4187974{col 33}{space 2} .1139961{col 44}{space 1}    3.67{col 53}{space 3}0.001{col 61}{space 4} .1848967{col 74}{space 3} .6526981
{txt}{space 15}110  {c |}{col 21}{res}{space 2} .1310275{col 33}{space 2} .0807963{col 44}{space 1}    1.62{col 53}{space 3}0.116{col 61}{space 4}-.0347527{col 74}{space 3} .2968078
{txt}{space 15}150  {c |}{col 21}{res}{space 2} .0994286{col 33}{space 2} .0942013{col 44}{space 1}    1.06{col 53}{space 3}0.301{col 61}{space 4}-.0938564{col 74}{space 3} .2927136
{txt}{space 15}180  {c |}{col 21}{res}{space 2} .1861624{col 33}{space 2} .1379869{col 44}{space 1}    1.35{col 53}{space 3}0.189{col 61}{space 4}-.0969632{col 74}{space 3}  .469288
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.863695{col 33}{space 2} .2898198{col 44}{space 1}    9.88{col 53}{space 3}0.000{col 61}{space 4} 2.269033{col 74}{space 3} 3.458356
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}. esttab using "IND22_3compare_h.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("Fundament." "Relig. Behav." "Edu. Men" "Husbands" "Takfir" "Violence" "Clerics" "Interest") label keep(housing_abroad_empl housing_abroad_own age education_years hh_employed_ft married econ_sat male bystander) title(Effects of migrant housing type on social and religious attitudes \label{c -(}tab:3compareH{c )-}) note(OLS with village-clustered SE in parentheses. Includes village fixed effects.) replace        
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_3compare_h.tex"'})

{com}.         
. 
. **TABLE F.1: Effects of length of time abroad on social and religious attitudes 
. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.         eststo: reg `outcome' consider_migrat_nm lived_abroad_years age education_years hh_employed_ft married econ_sat male bystander i.district, cl(location)
{txt}  3{com}.         estimates store `outcome'_3compare
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,601
                                                {txt}F(13, 27)         =  {res}     3.71
                                                {txt}Prob > F          = {res}    0.0019
                                                {txt}R-squared         = {res}    0.0354
                                                {txt}Root MSE          =    {res} .42864

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     extremism_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2092499{col 32}{space 2} .0789051{col 43}{space 1}    2.65{col 52}{space 3}0.013{col 60}{space 4}   .04735{col 73}{space 3} .3711498
{txt}lived_abroad_years {c |}{col 20}{res}{space 2}-.0009242{col 32}{space 2} .0052265{col 43}{space 1}   -0.18{col 52}{space 3}0.861{col 60}{space 4}-.0116482{col 73}{space 3} .0097998
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0033188{col 32}{space 2} .0011016{col 43}{space 1}   -3.01{col 52}{space 3}0.006{col 60}{space 4} -.005579{col 73}{space 3}-.0010585
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0165141{col 32}{space 2} .0027094{col 43}{space 1}   -6.10{col 52}{space 3}0.000{col 60}{space 4}-.0220733{col 73}{space 3}-.0109548
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0640086{col 32}{space 2} .0281451{col 43}{space 1}   -2.27{col 52}{space 3}0.031{col 60}{space 4}-.1217575{col 73}{space 3}-.0062597
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0897614{col 32}{space 2} .0422565{col 43}{space 1}   -2.12{col 52}{space 3}0.043{col 60}{space 4}-.1764646{col 73}{space 3}-.0030582
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0149728{col 32}{space 2} .0178549{col 43}{space 1}    0.84{col 52}{space 3}0.409{col 60}{space 4}-.0216623{col 73}{space 3} .0516079
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0440483{col 32}{space 2} .0293507{col 43}{space 1}    1.50{col 52}{space 3}0.145{col 60}{space 4}-.0161743{col 73}{space 3} .1042709
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0260136{col 32}{space 2} .0272758{col 43}{space 1}   -0.95{col 52}{space 3}0.349{col 60}{space 4}-.0819789{col 73}{space 3} .0299518
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0719823{col 32}{space 2} .0520141{col 43}{space 1}    1.38{col 52}{space 3}0.178{col 60}{space 4}-.0347418{col 73}{space 3} .1787064
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0201152{col 32}{space 2}  .041929{col 43}{space 1}    0.48{col 52}{space 3}0.635{col 60}{space 4}-.0659159{col 73}{space 3} .1061463
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0458276{col 32}{space 2} .0406082{col 43}{space 1}    1.13{col 52}{space 3}0.269{col 60}{space 4}-.0374937{col 73}{space 3} .1291488
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0324057{col 32}{space 2}  .037506{col 43}{space 1}    0.86{col 52}{space 3}0.395{col 60}{space 4}-.0445503{col 73}{space 3} .1093618
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} .3156033{col 32}{space 2} .0975567{col 43}{space 1}    3.24{col 52}{space 3}0.003{col 60}{space 4} .1154336{col 73}{space 3} .5157731
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,675
                                                {txt}F(13, 27)         =  {res}    16.14
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1182
                                                {txt}Root MSE          =    {res} .67826

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      religion_idx{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .2291856{col 32}{space 2} .1149177{col 43}{space 1}    1.99{col 52}{space 3}0.056{col 60}{space 4} -.006606{col 73}{space 3} .4649772
{txt}lived_abroad_years {c |}{col 20}{res}{space 2}-.0019978{col 32}{space 2} .0100143{col 43}{space 1}   -0.20{col 52}{space 3}0.843{col 60}{space 4}-.0225455{col 73}{space 3} .0185499
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0149422{col 32}{space 2}  .001903{col 43}{space 1}    7.85{col 52}{space 3}0.000{col 60}{space 4} .0110376{col 73}{space 3} .0188468
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0213867{col 32}{space 2} .0078065{col 43}{space 1}    2.74{col 52}{space 3}0.011{col 60}{space 4} .0053691{col 73}{space 3} .0374043
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .1617351{col 32}{space 2}  .053014{col 43}{space 1}    3.05{col 52}{space 3}0.005{col 60}{space 4} .0529593{col 73}{space 3} .2705108
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0838919{col 32}{space 2} .0703622{col 43}{space 1}   -1.19{col 52}{space 3}0.244{col 60}{space 4}-.2282632{col 73}{space 3} .0604793
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0149665{col 32}{space 2} .0251007{col 43}{space 1}    0.60{col 52}{space 3}0.556{col 60}{space 4}-.0365358{col 73}{space 3} .0664688
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1825039{col 32}{space 2} .0695205{col 43}{space 1}    2.63{col 52}{space 3}0.014{col 60}{space 4} .0398595{col 73}{space 3} .3251482
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}  .059625{col 32}{space 2} .0591914{col 43}{space 1}    1.01{col 52}{space 3}0.323{col 60}{space 4}-.0618256{col 73}{space 3} .1810756
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}  .194276{col 32}{space 2} .1071486{col 43}{space 1}    1.81{col 52}{space 3}0.081{col 60}{space 4}-.0255749{col 73}{space 3} .4141268
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .2252567{col 32}{space 2} .1248203{col 43}{space 1}    1.80{col 52}{space 3}0.082{col 60}{space 4}-.0308533{col 73}{space 3} .4813667
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0618655{col 32}{space 2} .1074219{col 43}{space 1}    0.58{col 52}{space 3}0.569{col 60}{space 4}-.1585459{col 73}{space 3} .2822769
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .1535953{col 32}{space 2} .1111248{col 43}{space 1}    1.38{col 52}{space 3}0.178{col 60}{space 4} -.074414{col 73}{space 3} .3816046
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-1.240368{col 32}{space 2} .1854512{col 43}{space 1}   -6.69{col 52}{space 3}0.000{col 60}{space 4}-1.620882{col 73}{space 3}-.8598535
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     4.87
                                                {txt}Prob > F          = {res}    0.0003
                                                {txt}R-squared         = {res}    0.0270
                                                {txt}Root MSE          =    {res} .65262

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    ideo_ed_gender{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3090495{col 32}{space 2} .0925609{col 43}{space 1}    3.34{col 52}{space 3}0.002{col 60}{space 4} .1191303{col 73}{space 3} .4989687
{txt}lived_abroad_years {c |}{col 20}{res}{space 2}-.0045587{col 32}{space 2} .0077209{col 43}{space 1}   -0.59{col 52}{space 3}0.560{col 60}{space 4}-.0204007{col 73}{space 3} .0112833
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0003418{col 32}{space 2} .0010844{col 43}{space 1}    0.32{col 52}{space 3}0.755{col 60}{space 4}-.0018832{col 73}{space 3} .0025668
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0199324{col 32}{space 2} .0050103{col 43}{space 1}   -3.98{col 52}{space 3}0.000{col 60}{space 4}-.0302127{col 73}{space 3}-.0096521
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} .0188737{col 32}{space 2} .0382492{col 43}{space 1}    0.49{col 52}{space 3}0.626{col 60}{space 4} -.059607{col 73}{space 3} .0973545
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0473249{col 32}{space 2} .0372198{col 43}{space 1}   -1.27{col 52}{space 3}0.214{col 60}{space 4}-.1236935{col 73}{space 3} .0290438
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0246318{col 32}{space 2} .0245977{col 43}{space 1}    1.00{col 52}{space 3}0.326{col 60}{space 4}-.0258386{col 73}{space 3} .0751022
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0320404{col 32}{space 2} .0405527{col 43}{space 1}    0.79{col 52}{space 3}0.436{col 60}{space 4}-.0511668{col 73}{space 3} .1152476
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0018644{col 32}{space 2} .0455136{col 43}{space 1}    0.04{col 52}{space 3}0.968{col 60}{space 4}-.0915218{col 73}{space 3} .0952505
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .0854919{col 32}{space 2} .0908722{col 43}{space 1}    0.94{col 52}{space 3}0.355{col 60}{space 4}-.1009625{col 73}{space 3} .2719463
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0497937{col 32}{space 2} .0711798{col 43}{space 1}    0.70{col 52}{space 3}0.490{col 60}{space 4}-.0962552{col 73}{space 3} .1958427
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0579583{col 32}{space 2} .0699731{col 43}{space 1}   -0.83{col 52}{space 3}0.415{col 60}{space 4}-.2015312{col 73}{space 3} .0856146
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0615795{col 32}{space 2} .0749185{col 43}{space 1}    0.82{col 52}{space 3}0.418{col 60}{space 4}-.0921405{col 73}{space 3} .2152995
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.812723{col 32}{space 2} .1182377{col 43}{space 1}   23.79{col 52}{space 3}0.000{col 60}{space 4}  2.57012{col 73}{space 3} 3.055327
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,674
                                                {txt}F(13, 27)         =  {res}     5.67
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0277
                                                {txt}Root MSE          =    {res} .60426

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_husbands{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .3530955{col 32}{space 2} .1251259{col 43}{space 1}    2.82{col 52}{space 3}0.009{col 60}{space 4} .0963584{col 73}{space 3} .6098327
{txt}lived_abroad_years {c |}{col 20}{res}{space 2}-.0062386{col 32}{space 2} .0075914{col 43}{space 1}   -0.82{col 52}{space 3}0.418{col 60}{space 4}-.0218148{col 73}{space 3} .0093376
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0036241{col 32}{space 2} .0017473{col 43}{space 1}   -2.07{col 52}{space 3}0.048{col 60}{space 4}-.0072093{col 73}{space 3}-.0000389
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} -.012825{col 32}{space 2} .0051291{col 43}{space 1}   -2.50{col 52}{space 3}0.019{col 60}{space 4} -.023349{col 73}{space 3} -.002301
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0198208{col 32}{space 2} .0362814{col 43}{space 1}   -0.55{col 52}{space 3}0.589{col 60}{space 4}-.0942642{col 73}{space 3} .0546226
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0464601{col 32}{space 2} .0454023{col 43}{space 1}    1.02{col 52}{space 3}0.315{col 60}{space 4}-.0466978{col 73}{space 3}  .139618
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0047309{col 32}{space 2} .0239658{col 43}{space 1}    0.20{col 52}{space 3}0.845{col 60}{space 4}-.0444427{col 73}{space 3} .0539046
{txt}{space 14}male {c |}{col 20}{res}{space 2}  .146304{col 32}{space 2} .0342274{col 43}{space 1}    4.27{col 52}{space 3}0.000{col 60}{space 4} .0760752{col 73}{space 3} .2165327
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0521016{col 32}{space 2} .0279593{col 43}{space 1}    1.86{col 52}{space 3}0.073{col 60}{space 4}-.0052661{col 73}{space 3} .1094693
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.0834642{col 32}{space 2} .0514901{col 43}{space 1}   -1.62{col 52}{space 3}0.117{col 60}{space 4}-.1891131{col 73}{space 3} .0221847
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.0826241{col 32}{space 2} .0399817{col 43}{space 1}   -2.07{col 52}{space 3}0.048{col 60}{space 4}-.1646597{col 73}{space 3}-.0005885
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0521153{col 32}{space 2} .0339114{col 43}{space 1}   -1.54{col 52}{space 3}0.136{col 60}{space 4}-.1216957{col 73}{space 3} .0174651
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0208541{col 32}{space 2} .0496109{col 43}{space 1}    0.42{col 52}{space 3}0.678{col 60}{space 4}-.0809391{col 73}{space 3} .1226474
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 3.000365{col 32}{space 2} .1229137{col 43}{space 1}   24.41{col 52}{space 3}0.000{col 60}{space 4} 2.748167{col 73}{space 3} 3.252563
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,671
                                                {txt}F(13, 27)         =  {res}     4.96
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0322
                                                {txt}Root MSE          =    {res} .52296

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       ideo_takfir{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.0168175{col 32}{space 2} .0573684{col 43}{space 1}   -0.29{col 52}{space 3}0.772{col 60}{space 4}-.1345278{col 73}{space 3} .1008927
{txt}lived_abroad_years {c |}{col 20}{res}{space 2}-.0093134{col 32}{space 2} .0059393{col 43}{space 1}   -1.57{col 52}{space 3}0.129{col 60}{space 4}   -.0215{col 73}{space 3} .0028731
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0013064{col 32}{space 2} .0013641{col 43}{space 1}   -0.96{col 52}{space 3}0.347{col 60}{space 4}-.0041052{col 73}{space 3} .0014925
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0124334{col 32}{space 2} .0049633{col 43}{space 1}   -2.51{col 52}{space 3}0.019{col 60}{space 4}-.0226172{col 73}{space 3}-.0022496
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0533547{col 32}{space 2} .0313859{col 43}{space 1}   -1.70{col 52}{space 3}0.101{col 60}{space 4}-.1177532{col 73}{space 3} .0110438
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.1316864{col 32}{space 2} .0364916{col 43}{space 1}   -3.61{col 52}{space 3}0.001{col 60}{space 4}-.2065609{col 73}{space 3}-.0568118
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0376297{col 32}{space 2}   .02213{col 43}{space 1}    1.70{col 52}{space 3}0.101{col 60}{space 4}-.0077774{col 73}{space 3} .0830367
{txt}{space 14}male {c |}{col 20}{res}{space 2} .0076353{col 32}{space 2} .0330152{col 43}{space 1}    0.23{col 52}{space 3}0.819{col 60}{space 4}-.0601063{col 73}{space 3} .0753769
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0839397{col 32}{space 2} .0347273{col 43}{space 1}   -2.42{col 52}{space 3}0.023{col 60}{space 4}-.1551942{col 73}{space 3}-.0126852
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} -.043523{col 32}{space 2} .0751912{col 43}{space 1}   -0.58{col 52}{space 3}0.568{col 60}{space 4}-.1978027{col 73}{space 3} .1107567
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0697799{col 32}{space 2} .0367115{col 43}{space 1}    1.90{col 52}{space 3}0.068{col 60}{space 4}-.0055459{col 73}{space 3} .1451058
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .1136431{col 32}{space 2}  .064065{col 43}{space 1}    1.77{col 52}{space 3}0.087{col 60}{space 4}-.0178075{col 73}{space 3} .2450936
{txt}{space 14}180  {c |}{col 20}{res}{space 2} .0895775{col 32}{space 2} .0609539{col 43}{space 1}    1.47{col 52}{space 3}0.153{col 60}{space 4}-.0354896{col 73}{space 3} .2146447
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.288743{col 32}{space 2} .1196494{col 43}{space 1}   19.13{col 52}{space 3}0.000{col 60}{space 4} 2.043242{col 73}{space 3} 2.534243
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}    11.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0548
                                                {txt}Root MSE          =    {res} .59422

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_violence{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}  .192542{col 32}{space 2} .1151337{col 43}{space 1}    1.67{col 52}{space 3}0.106{col 60}{space 4}-.0436929{col 73}{space 3} .4287769
{txt}lived_abroad_years {c |}{col 20}{res}{space 2}-.0040228{col 32}{space 2} .0091683{col 43}{space 1}   -0.44{col 52}{space 3}0.664{col 60}{space 4}-.0228346{col 73}{space 3} .0147889
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0035104{col 32}{space 2} .0018455{col 43}{space 1}   -1.90{col 52}{space 3}0.068{col 60}{space 4} -.007297{col 73}{space 3} .0002763
{txt}{space 3}education_years {c |}{col 20}{res}{space 2}-.0295973{col 32}{space 2} .0051463{col 43}{space 1}   -5.75{col 52}{space 3}0.000{col 60}{space 4}-.0401565{col 73}{space 3} -.019038
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2} -.071154{col 32}{space 2} .0416559{col 43}{space 1}   -1.71{col 52}{space 3}0.099{col 60}{space 4}-.1566248{col 73}{space 3} .0143169
{txt}{space 11}married {c |}{col 20}{res}{space 2}-.0819156{col 32}{space 2} .0482065{col 43}{space 1}   -1.70{col 52}{space 3}0.101{col 60}{space 4}-.1808273{col 73}{space 3}  .016996
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0063829{col 32}{space 2} .0225703{col 43}{space 1}    0.28{col 52}{space 3}0.779{col 60}{space 4}-.0399276{col 73}{space 3} .0526934
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0067076{col 32}{space 2} .0424821{col 43}{space 1}   -0.16{col 52}{space 3}0.876{col 60}{space 4}-.0938735{col 73}{space 3} .0804584
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}-.0791684{col 32}{space 2}  .048622{col 43}{space 1}   -1.63{col 52}{space 3}0.115{col 60}{space 4}-.1789325{col 73}{space 3} .0205956
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1192222{col 32}{space 2} .0787324{col 43}{space 1}    1.51{col 52}{space 3}0.142{col 60}{space 4}-.0423233{col 73}{space 3} .2807676
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0452498{col 32}{space 2}  .062529{col 43}{space 1}    0.72{col 52}{space 3}0.475{col 60}{space 4}-.0830492{col 73}{space 3} .1735488
{txt}{space 14}150  {c |}{col 20}{res}{space 2} .0199945{col 32}{space 2} .0597381{col 43}{space 1}    0.33{col 52}{space 3}0.740{col 60}{space 4}-.1025781{col 73}{space 3}  .142567
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0972597{col 32}{space 2} .1022982{col 43}{space 1}   -0.95{col 52}{space 3}0.350{col 60}{space 4}-.3071583{col 73}{space 3} .1126389
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.580157{col 32}{space 2} .1469886{col 43}{space 1}   17.55{col 52}{space 3}0.000{col 60}{space 4} 2.278562{col 73}{space 3} 2.881753
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,667
                                                {txt}F(13, 27)         =  {res}     8.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0164
                                                {txt}Root MSE          =    {res} .57906

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      ideo_clerics{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2} .1481766{col 32}{space 2} .0604365{col 43}{space 1}    2.45{col 52}{space 3}0.021{col 60}{space 4}  .024171{col 73}{space 3} .2721821
{txt}lived_abroad_years {c |}{col 20}{res}{space 2} .0004157{col 32}{space 2} .0074168{col 43}{space 1}    0.06{col 52}{space 3}0.956{col 60}{space 4}-.0148022{col 73}{space 3} .0156337
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0026204{col 32}{space 2} .0011584{col 43}{space 1}    2.26{col 52}{space 3}0.032{col 60}{space 4} .0002436{col 73}{space 3} .0049972
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0058486{col 32}{space 2} .0035741{col 43}{space 1}    1.64{col 52}{space 3}0.113{col 60}{space 4} -.001485{col 73}{space 3} .0131821
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0401351{col 32}{space 2} .0344123{col 43}{space 1}   -1.17{col 52}{space 3}0.254{col 60}{space 4}-.1107433{col 73}{space 3}  .030473
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0020014{col 32}{space 2} .0430356{col 43}{space 1}    0.05{col 52}{space 3}0.963{col 60}{space 4}-.0863002{col 73}{space 3} .0903031
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2} .0291126{col 32}{space 2} .0228061{col 43}{space 1}    1.28{col 52}{space 3}0.213{col 60}{space 4}-.0176816{col 73}{space 3} .0759067
{txt}{space 14}male {c |}{col 20}{res}{space 2} .1075278{col 32}{space 2} .0407513{col 43}{space 1}    2.64{col 52}{space 3}0.014{col 60}{space 4}  .023913{col 73}{space 3} .1911425
{txt}{space 9}bystander {c |}{col 20}{res}{space 2} .0122812{col 32}{space 2} .0325105{col 43}{space 1}    0.38{col 52}{space 3}0.709{col 60}{space 4}-.0544248{col 73}{space 3} .0789873
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2}-.1492764{col 32}{space 2} .0460128{col 43}{space 1}   -3.24{col 52}{space 3}0.003{col 60}{space 4}-.2436868{col 73}{space 3} -.054866
{txt}{space 14}110  {c |}{col 20}{res}{space 2}-.1158868{col 32}{space 2} .0535477{col 43}{space 1}   -2.16{col 52}{space 3}0.039{col 60}{space 4}-.2257575{col 73}{space 3} -.006016
{txt}{space 14}150  {c |}{col 20}{res}{space 2}-.0688945{col 32}{space 2} .0519572{col 43}{space 1}   -1.33{col 52}{space 3}0.196{col 60}{space 4}-.1755018{col 73}{space 3} .0377128
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0723107{col 32}{space 2} .0556888{col 43}{space 1}   -1.30{col 52}{space 3}0.205{col 60}{space 4}-.1865746{col 73}{space 3} .0419533
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.591105{col 32}{space 2} .1005771{col 43}{space 1}   25.76{col 52}{space 3}0.000{col 60}{space 4} 2.384738{col 73}{space 3} 2.797472
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}     1,653
                                                {txt}F(13, 27)         =  {res}    11.30
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0213
                                                {txt}Root MSE          =    {res} .63573

{txt}{ralign 84:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     ideo_interest{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
consider_migrat_nm {c |}{col 20}{res}{space 2}-.0966635{col 32}{space 2} .1302124{col 43}{space 1}   -0.74{col 52}{space 3}0.464{col 60}{space 4}-.3638373{col 73}{space 3} .1705103
{txt}lived_abroad_years {c |}{col 20}{res}{space 2} .0070787{col 32}{space 2} .0074698{col 43}{space 1}    0.95{col 52}{space 3}0.352{col 60}{space 4}-.0082481{col 73}{space 3} .0224056
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0050673{col 32}{space 2} .0015342{col 43}{space 1}   -3.30{col 52}{space 3}0.003{col 60}{space 4}-.0082153{col 73}{space 3}-.0019194
{txt}{space 3}education_years {c |}{col 20}{res}{space 2} .0031964{col 32}{space 2} .0053341{col 43}{space 1}    0.60{col 52}{space 3}0.554{col 60}{space 4}-.0077484{col 73}{space 3} .0141411
{txt}{space 4}hh_employed_ft {c |}{col 20}{res}{space 2}-.0321881{col 32}{space 2} .0429569{col 43}{space 1}   -0.75{col 52}{space 3}0.460{col 60}{space 4}-.1203283{col 73}{space 3} .0559522
{txt}{space 11}married {c |}{col 20}{res}{space 2} .0028806{col 32}{space 2} .0547994{col 43}{space 1}    0.05{col 52}{space 3}0.958{col 60}{space 4}-.1095584{col 73}{space 3} .1153196
{txt}{space 10}econ_sat {c |}{col 20}{res}{space 2}-.0001711{col 32}{space 2} .0219288{col 43}{space 1}   -0.01{col 52}{space 3}0.994{col 60}{space 4}-.0451653{col 73}{space 3}  .044823
{txt}{space 14}male {c |}{col 20}{res}{space 2}-.0164488{col 32}{space 2} .0339806{col 43}{space 1}   -0.48{col 52}{space 3}0.632{col 60}{space 4}-.0861711{col 73}{space 3} .0532735
{txt}{space 9}bystander {c |}{col 20}{res}{space 2}  .000163{col 32}{space 2} .0320132{col 43}{space 1}    0.01{col 52}{space 3}0.996{col 60}{space 4}-.0655225{col 73}{space 3} .0658486
{txt}{space 18} {c |}
{space 10}district {c |}
{space 14}101  {c |}{col 20}{res}{space 2} .1644024{col 32}{space 2}  .055166{col 43}{space 1}    2.98{col 52}{space 3}0.006{col 60}{space 4} .0512111{col 73}{space 3} .2775937
{txt}{space 14}110  {c |}{col 20}{res}{space 2} .0902634{col 32}{space 2} .0486625{col 43}{space 1}    1.85{col 52}{space 3}0.075{col 60}{space 4}-.0095837{col 73}{space 3} .1901105
{txt}{space 14}150  {c |}{col 20}{res}{space 2}  .098241{col 32}{space 2} .0561705{col 43}{space 1}    1.75{col 52}{space 3}0.092{col 60}{space 4}-.0170112{col 73}{space 3} .2134933
{txt}{space 14}180  {c |}{col 20}{res}{space 2}-.0020477{col 32}{space 2} .0426701{col 43}{space 1}   -0.05{col 52}{space 3}0.962{col 60}{space 4}-.0895994{col 73}{space 3}  .085504
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 2.800646{col 32}{space 2} .1025429{col 43}{space 1}   27.31{col 52}{space 3}0.000{col 60}{space 4} 2.590246{col 73}{space 3} 3.011047
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}. esttab using "IND22_3compare_l.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("Fundament." "Relig. Behav." "Edu. Men" "Husbands" "Takfir" "Violence" "Clerics" "Interest") label keep(consider_migrat_nm lived_abroad_years age education_years hh_employed_ft married econ_sat male bystander) title(Effects of length of time abroad on social and religious attitudes \label{c -(}tab:3compareL{c )-}) note(OLS with village-clustered SE in parentheses. Includes village fixed effects.) replace
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_3compare_l.tex"'})

{com}. 
. 
. **FIGURE G.1: Comparing attitudes of individuals with and without a household member who migrated
. label variable hh_abroad "Household Migrated"
{txt}
{com}. eststo clear
{txt}
{com}. foreach outcome in extremism_idx religion_idx ideo_ed_gender ideo_husbands ideo_takfir ideo_violence ideo_clerics ideo_interest {c -(}
{txt}  2{com}.         eststo: reg `outcome' hh_abroad age education_years hh_employed_ft married econ_sat male bystander i.district if lived_abroad==0, cl(location)
{txt}  3{com}.         estimates store `outcome'_hh
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,344
                                                {txt}F(12, 27)         =  {res}     5.11
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0389
                                                {txt}Root MSE          =    {res} .43363

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  extremism_idx{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2}-.0364327{col 29}{space 2} .0245469{col 40}{space 1}   -1.48{col 49}{space 3}0.149{col 57}{space 4}-.0867988{col 70}{space 3} .0139334
{txt}{space 12}age {c |}{col 17}{res}{space 2}  -.00374{col 29}{space 2} .0012653{col 40}{space 1}   -2.96{col 49}{space 3}0.006{col 57}{space 4}-.0063362{col 70}{space 3}-.0011438
{txt}education_years {c |}{col 17}{res}{space 2}-.0176516{col 29}{space 2} .0028034{col 40}{space 1}   -6.30{col 49}{space 3}0.000{col 57}{space 4}-.0234037{col 70}{space 3}-.0118995
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0721092{col 29}{space 2} .0313292{col 40}{space 1}   -2.30{col 49}{space 3}0.029{col 57}{space 4}-.1363915{col 70}{space 3} -.007827
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.1128741{col 29}{space 2} .0441798{col 40}{space 1}   -2.55{col 49}{space 3}0.017{col 57}{space 4}-.2035234{col 70}{space 3}-.0222247
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0293046{col 29}{space 2} .0153089{col 40}{space 1}    1.91{col 49}{space 3}0.066{col 57}{space 4}-.0021066{col 70}{space 3} .0607158
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0571801{col 29}{space 2} .0328838{col 40}{space 1}    1.74{col 49}{space 3}0.093{col 57}{space 4}-.0102919{col 70}{space 3}  .124652
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}-.0162166{col 29}{space 2}    .0288{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4}-.0753094{col 70}{space 3} .0428762
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0510004{col 29}{space 2} .0541272{col 40}{space 1}    0.94{col 49}{space 3}0.354{col 57}{space 4}-.0600596{col 70}{space 3} .1620603
{txt}{space 11}110  {c |}{col 17}{res}{space 2}-.0001456{col 29}{space 2}  .041413{col 40}{space 1}   -0.00{col 49}{space 3}0.997{col 57}{space 4} -.085118{col 70}{space 3} .0848268
{txt}{space 11}150  {c |}{col 17}{res}{space 2}  .031754{col 29}{space 2} .0400638{col 40}{space 1}    0.79{col 49}{space 3}0.435{col 57}{space 4}-.0504501{col 70}{space 3}  .113958
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0158663{col 29}{space 2} .0464148{col 40}{space 1}   -0.34{col 49}{space 3}0.735{col 57}{space 4}-.1111017{col 70}{space 3} .0793691
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .3594759{col 29}{space 2} .1093333{col 40}{space 1}    3.29{col 49}{space 3}0.003{col 57}{space 4} .1351426{col 70}{space 3} .5838092
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,409
                                                {txt}F(12, 27)         =  {res}    13.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1166
                                                {txt}Root MSE          =    {res} .68283

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   religion_idx{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2} -.054405{col 29}{space 2} .0461787{col 40}{space 1}   -1.18{col 49}{space 3}0.249{col 57}{space 4}-.1491558{col 70}{space 3} .0403458
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0153025{col 29}{space 2} .0018927{col 40}{space 1}    8.09{col 49}{space 3}0.000{col 57}{space 4} .0114191{col 70}{space 3} .0191859
{txt}education_years {c |}{col 17}{res}{space 2} .0244364{col 29}{space 2} .0073009{col 40}{space 1}    3.35{col 49}{space 3}0.002{col 57}{space 4} .0094561{col 70}{space 3} .0394166
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .1850773{col 29}{space 2} .0557246{col 40}{space 1}    3.32{col 49}{space 3}0.003{col 57}{space 4} .0707399{col 70}{space 3} .2994147
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.1236561{col 29}{space 2} .0768869{col 40}{space 1}   -1.61{col 49}{space 3}0.119{col 57}{space 4}-.2814149{col 70}{space 3} .0341028
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0221502{col 29}{space 2} .0276636{col 40}{space 1}    0.80{col 49}{space 3}0.430{col 57}{space 4}-.0346109{col 70}{space 3} .0789113
{txt}{space 11}male {c |}{col 17}{res}{space 2} .1935944{col 29}{space 2} .0829435{col 40}{space 1}    2.33{col 49}{space 3}0.027{col 57}{space 4} .0234084{col 70}{space 3} .3637804
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0679776{col 29}{space 2} .0615587{col 40}{space 1}    1.10{col 49}{space 3}0.279{col 57}{space 4}-.0583304{col 70}{space 3} .1942856
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .1481916{col 29}{space 2} .1129274{col 40}{space 1}    1.31{col 49}{space 3}0.200{col 57}{space 4}-.0835163{col 70}{space 3} .3798995
{txt}{space 11}110  {c |}{col 17}{res}{space 2}  .185721{col 29}{space 2} .1232417{col 40}{space 1}    1.51{col 49}{space 3}0.143{col 57}{space 4}  -.06715{col 70}{space 3}  .438592
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0100362{col 29}{space 2} .1060299{col 40}{space 1}   -0.09{col 49}{space 3}0.925{col 57}{space 4}-.2275915{col 70}{space 3} .2075191
{txt}{space 11}180  {c |}{col 17}{res}{space 2} .0617881{col 29}{space 2} .1140166{col 40}{space 1}    0.54{col 49}{space 3}0.592{col 57}{space 4}-.1721546{col 70}{space 3} .2957309
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.226227{col 29}{space 2} .1895632{col 40}{space 1}   -6.47{col 49}{space 3}0.000{col 57}{space 4}-1.615178{col 70}{space 3}-.8372751
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,408
                                                {txt}F(12, 27)         =  {res}     2.31
                                                {txt}Prob > F          = {res}    0.0344
                                                {txt}R-squared         = {res}    0.0276
                                                {txt}Root MSE          =    {res} .65516

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} ideo_ed_gender{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2}-.0363045{col 29}{space 2} .0427664{col 40}{space 1}   -0.85{col 49}{space 3}0.403{col 57}{space 4}-.1240538{col 70}{space 3} .0514448
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0003248{col 29}{space 2} .0012583{col 40}{space 1}   -0.26{col 49}{space 3}0.798{col 57}{space 4}-.0029067{col 70}{space 3} .0022572
{txt}education_years {c |}{col 17}{res}{space 2}-.0189832{col 29}{space 2} .0063795{col 40}{space 1}   -2.98{col 49}{space 3}0.006{col 57}{space 4}-.0320729{col 70}{space 3}-.0058935
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0035993{col 29}{space 2} .0451156{col 40}{space 1}    0.08{col 49}{space 3}0.937{col 57}{space 4}-.0889702{col 70}{space 3} .0961689
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0764485{col 29}{space 2} .0437153{col 40}{space 1}   -1.75{col 49}{space 3}0.092{col 57}{space 4}-.1661448{col 70}{space 3} .0132478
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}  .038087{col 29}{space 2} .0248329{col 40}{space 1}    1.53{col 49}{space 3}0.137{col 57}{space 4} -.012866{col 70}{space 3}   .08904
{txt}{space 11}male {c |}{col 17}{res}{space 2} .0601592{col 29}{space 2} .0357998{col 40}{space 1}    1.68{col 49}{space 3}0.104{col 57}{space 4}-.0132959{col 70}{space 3} .1336142
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0030953{col 29}{space 2} .0469269{col 40}{space 1}    0.07{col 49}{space 3}0.948{col 57}{space 4}-.0931906{col 70}{space 3} .0993813
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0792153{col 29}{space 2}  .095094{col 40}{space 1}    0.83{col 49}{space 3}0.412{col 57}{space 4}-.1159014{col 70}{space 3} .2743321
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0034506{col 29}{space 2} .0695087{col 40}{space 1}    0.05{col 49}{space 3}0.961{col 57}{space 4}-.1391694{col 70}{space 3} .1460706
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.1183631{col 29}{space 2} .0719065{col 40}{space 1}   -1.65{col 49}{space 3}0.111{col 57}{space 4}-.2659031{col 70}{space 3} .0291768
{txt}{space 11}180  {c |}{col 17}{res}{space 2} .0069405{col 29}{space 2} .0717654{col 40}{space 1}    0.10{col 49}{space 3}0.924{col 57}{space 4}-.1403099{col 70}{space 3} .1541909
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.881569{col 29}{space 2} .1334409{col 40}{space 1}   21.59{col 49}{space 3}0.000{col 57}{space 4} 2.607771{col 70}{space 3} 3.155367
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,408
                                                {txt}F(12, 27)         =  {res}     6.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0241
                                                {txt}Root MSE          =    {res} .60196

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  ideo_husbands{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2}-.0440344{col 29}{space 2} .0419211{col 40}{space 1}   -1.05{col 49}{space 3}0.303{col 57}{space 4}-.1300494{col 70}{space 3} .0419807
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0047182{col 29}{space 2} .0015053{col 40}{space 1}   -3.13{col 49}{space 3}0.004{col 57}{space 4}-.0078068{col 70}{space 3}-.0016296
{txt}education_years {c |}{col 17}{res}{space 2}-.0109826{col 29}{space 2} .0051048{col 40}{space 1}   -2.15{col 49}{space 3}0.041{col 57}{space 4}-.0214568{col 70}{space 3}-.0005085
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0200013{col 29}{space 2} .0377188{col 40}{space 1}   -0.53{col 49}{space 3}0.600{col 57}{space 4}-.0973938{col 70}{space 3} .0573912
{txt}{space 8}married {c |}{col 17}{res}{space 2} .0401808{col 29}{space 2} .0545691{col 40}{space 1}    0.74{col 49}{space 3}0.468{col 57}{space 4}-.0717858{col 70}{space 3} .1521473
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0177769{col 29}{space 2} .0260512{col 40}{space 1}    0.68{col 49}{space 3}0.501{col 57}{space 4}-.0356757{col 70}{space 3} .0712295
{txt}{space 11}male {c |}{col 17}{res}{space 2}  .157685{col 29}{space 2}   .03928{col 40}{space 1}    4.01{col 49}{space 3}0.000{col 57}{space 4}  .077089{col 70}{space 3} .2382809
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0841434{col 29}{space 2} .0310117{col 40}{space 1}    2.71{col 49}{space 3}0.011{col 57}{space 4} .0205126{col 70}{space 3} .1477742
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2}-.1086128{col 29}{space 2} .0600455{col 40}{space 1}   -1.81{col 49}{space 3}0.082{col 57}{space 4}-.2318161{col 70}{space 3} .0145904
{txt}{space 11}110  {c |}{col 17}{res}{space 2}-.1160232{col 29}{space 2} .0401266{col 40}{space 1}   -2.89{col 49}{space 3}0.007{col 57}{space 4}-.1983562{col 70}{space 3}-.0336901
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0803608{col 29}{space 2} .0389629{col 40}{space 1}   -2.06{col 49}{space 3}0.049{col 57}{space 4} -.160306{col 70}{space 3}-.0004155
{txt}{space 11}180  {c |}{col 17}{res}{space 2} -.039575{col 29}{space 2} .0617919{col 40}{space 1}   -0.64{col 49}{space 3}0.527{col 57}{space 4}-.1663614{col 70}{space 3} .0872115
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.038709{col 29}{space 2} .1227606{col 40}{space 1}   24.75{col 49}{space 3}0.000{col 57}{space 4} 2.786825{col 70}{space 3} 3.290593
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

Linear regression                               Number of obs     = {res}     1,406
                                                {txt}F(12, 27)         =  {res}     3.37
                                                {txt}Prob > F          = {res}    0.0042
                                                {txt}R-squared         = {res}    0.0323
                                                {txt}Root MSE          =    {res} .52936

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    ideo_takfir{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2}  .008961{col 29}{space 2} .0260853{col 40}{space 1}    0.34{col 49}{space 3}0.734{col 57}{space 4}-.0445616{col 70}{space 3} .0624836
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0003435{col 29}{space 2} .0014094{col 40}{space 1}   -0.24{col 49}{space 3}0.809{col 57}{space 4}-.0032354{col 70}{space 3} .0025484
{txt}education_years {c |}{col 17}{res}{space 2}-.0115079{col 29}{space 2} .0048704{col 40}{space 1}   -2.36{col 49}{space 3}0.026{col 57}{space 4}-.0215011{col 70}{space 3}-.0015147
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0365017{col 29}{space 2} .0385928{col 40}{space 1}   -0.95{col 49}{space 3}0.353{col 57}{space 4}-.1156876{col 70}{space 3} .0426841
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.1227989{col 29}{space 2} .0363562{col 40}{space 1}   -3.38{col 49}{space 3}0.002{col 57}{space 4}-.1973956{col 70}{space 3}-.0482022
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2}  .054446{col 29}{space 2} .0225135{col 40}{space 1}    2.42{col 49}{space 3}0.023{col 57}{space 4} .0082522{col 70}{space 3} .1006398
{txt}{space 11}male {c |}{col 17}{res}{space 2}-.0050118{col 29}{space 2} .0379847{col 40}{space 1}   -0.13{col 49}{space 3}0.896{col 57}{space 4}-.0829499{col 70}{space 3} .0729263
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}-.0641017{col 29}{space 2} .0399594{col 40}{space 1}   -1.60{col 49}{space 3}0.120{col 57}{space 4}-.1460915{col 70}{space 3} .0178881
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2}-.0707428{col 29}{space 2} .0734033{col 40}{space 1}   -0.96{col 49}{space 3}0.344{col 57}{space 4}-.2213539{col 70}{space 3} .0798682
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0423034{col 29}{space 2} .0433358{col 40}{space 1}    0.98{col 49}{space 3}0.338{col 57}{space 4}-.0466144{col 70}{space 3} .1312211
{txt}{space 11}150  {c |}{col 17}{res}{space 2} .1012321{col 29}{space 2} .0667951{col 40}{space 1}    1.52{col 49}{space 3}0.141{col 57}{space 4}-.0358201{col 70}{space 3} .2382843
{txt}{space 11}180  {c |}{col 17}{res}{space 2} .0437996{col 29}{space 2} .0722936{col 40}{space 1}    0.61{col 49}{space 3}0.550{col 57}{space 4}-.1045347{col 70}{space 3} .1921339
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.185071{col 29}{space 2}  .113452{col 40}{space 1}   19.26{col 49}{space 3}0.000{col 57}{space 4} 1.952287{col 70}{space 3} 2.417855
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est5{txt} stored)

Linear regression                               Number of obs     = {res}     1,402
                                                {txt}F(12, 27)         =  {res}     5.54
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0548
                                                {txt}Root MSE          =    {res} .59211

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  ideo_violence{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2} .0017309{col 29}{space 2} .0336704{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4}-.0673551{col 70}{space 3} .0708169
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0037451{col 29}{space 2} .0018497{col 40}{space 1}   -2.02{col 49}{space 3}0.053{col 57}{space 4}-.0075403{col 70}{space 3} .0000502
{txt}education_years {c |}{col 17}{res}{space 2}-.0301825{col 29}{space 2} .0056838{col 40}{space 1}   -5.31{col 49}{space 3}0.000{col 57}{space 4}-.0418448{col 70}{space 3}-.0185202
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0539759{col 29}{space 2} .0483429{col 40}{space 1}   -1.12{col 49}{space 3}0.274{col 57}{space 4}-.1531673{col 70}{space 3} .0452155
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0894296{col 29}{space 2} .0530843{col 40}{space 1}   -1.68{col 49}{space 3}0.104{col 57}{space 4}-.1983495{col 70}{space 3} .0194903
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0011736{col 29}{space 2} .0232404{col 40}{space 1}    0.05{col 49}{space 3}0.960{col 57}{space 4}-.0465118{col 70}{space 3}  .048859
{txt}{space 11}male {c |}{col 17}{res}{space 2}-.0046268{col 29}{space 2} .0460095{col 40}{space 1}   -0.10{col 49}{space 3}0.921{col 57}{space 4}-.0990304{col 70}{space 3} .0897769
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}-.0696738{col 29}{space 2} .0472525{col 40}{space 1}   -1.47{col 49}{space 3}0.152{col 57}{space 4} -.166628{col 70}{space 3} .0272804
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .1178291{col 29}{space 2} .0688985{col 40}{space 1}    1.71{col 49}{space 3}0.099{col 57}{space 4} -.023539{col 70}{space 3} .2591972
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0469835{col 29}{space 2} .0560248{col 40}{space 1}    0.84{col 49}{space 3}0.409{col 57}{space 4}-.0679698{col 70}{space 3} .1619368
{txt}{space 11}150  {c |}{col 17}{res}{space 2} .0224034{col 29}{space 2}  .053116{col 40}{space 1}    0.42{col 49}{space 3}0.677{col 57}{space 4}-.0865818{col 70}{space 3} .1313885
{txt}{space 11}180  {c |}{col 17}{res}{space 2} -.100561{col 29}{space 2} .1013785{col 40}{space 1}   -0.99{col 49}{space 3}0.330{col 57}{space 4}-.3085725{col 70}{space 3} .1074506
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.613158{col 29}{space 2} .1615216{col 40}{space 1}   16.18{col 49}{space 3}0.000{col 57}{space 4} 2.281743{col 70}{space 3} 2.944573
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est6{txt} stored)

Linear regression                               Number of obs     = {res}     1,402
                                                {txt}F(12, 27)         =  {res}     2.48
                                                {txt}Prob > F          = {res}    0.0243
                                                {txt}R-squared         = {res}    0.0174
                                                {txt}Root MSE          =    {res} .57699

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   ideo_clerics{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2} -.004212{col 29}{space 2} .0283531{col 40}{space 1}   -0.15{col 49}{space 3}0.883{col 57}{space 4}-.0623878{col 70}{space 3} .0539637
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0016622{col 29}{space 2} .0012139{col 40}{space 1}    1.37{col 49}{space 3}0.182{col 57}{space 4}-.0008285{col 70}{space 3}  .004153
{txt}education_years {c |}{col 17}{res}{space 2} .0067366{col 29}{space 2} .0037337{col 40}{space 1}    1.80{col 49}{space 3}0.082{col 57}{space 4}-.0009243{col 70}{space 3} .0143975
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0460152{col 29}{space 2} .0343969{col 40}{space 1}   -1.34{col 49}{space 3}0.192{col 57}{space 4}-.1165917{col 70}{space 3} .0245614
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.0417175{col 29}{space 2}  .052125{col 40}{space 1}   -0.80{col 49}{space 3}0.431{col 57}{space 4}-.1486691{col 70}{space 3} .0652342
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0454353{col 29}{space 2} .0216984{col 40}{space 1}    2.09{col 49}{space 3}0.046{col 57}{space 4} .0009138{col 70}{space 3} .0899568
{txt}{space 11}male {c |}{col 17}{res}{space 2} .1112443{col 29}{space 2} .0372325{col 40}{space 1}    2.99{col 49}{space 3}0.006{col 57}{space 4} .0348495{col 70}{space 3}  .187639
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}-.0089502{col 29}{space 2} .0360468{col 40}{space 1}   -0.25{col 49}{space 3}0.806{col 57}{space 4}-.0829123{col 70}{space 3} .0650118
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2}-.1746779{col 29}{space 2} .0542596{col 40}{space 1}   -3.22{col 49}{space 3}0.003{col 57}{space 4}-.2860094{col 70}{space 3}-.0633464
{txt}{space 11}110  {c |}{col 17}{res}{space 2}-.1076667{col 29}{space 2} .0517972{col 40}{space 1}   -2.08{col 49}{space 3}0.047{col 57}{space 4}-.2139458{col 70}{space 3}-.0013875
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0724309{col 29}{space 2} .0554559{col 40}{space 1}   -1.31{col 49}{space 3}0.203{col 57}{space 4} -.186217{col 70}{space 3} .0413553
{txt}{space 11}180  {c |}{col 17}{res}{space 2} -.082146{col 29}{space 2} .0745664{col 40}{space 1}   -1.10{col 49}{space 3}0.280{col 57}{space 4}-.2351436{col 70}{space 3} .0708515
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.659411{col 29}{space 2} .1201329{col 40}{space 1}   22.14{col 49}{space 3}0.000{col 57}{space 4} 2.412918{col 70}{space 3} 2.905903
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est7{txt} stored)

Linear regression                               Number of obs     = {res}     1,388
                                                {txt}F(12, 27)         =  {res}     4.67
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.0178
                                                {txt}Root MSE          =    {res} .64259

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  ideo_interest{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2} -.007505{col 29}{space 2}  .040211{col 40}{space 1}   -0.19{col 49}{space 3}0.853{col 57}{space 4}-.0900111{col 70}{space 3} .0750011
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0047625{col 29}{space 2} .0016949{col 40}{space 1}   -2.81{col 49}{space 3}0.009{col 57}{space 4}-.0082402{col 70}{space 3}-.0012847
{txt}education_years {c |}{col 17}{res}{space 2} .0009632{col 29}{space 2} .0057033{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4}-.0107389{col 70}{space 3} .0126654
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0516896{col 29}{space 2} .0529612{col 40}{space 1}   -0.98{col 49}{space 3}0.338{col 57}{space 4}-.1603571{col 70}{space 3} .0569779
{txt}{space 8}married {c |}{col 17}{res}{space 2} .0053021{col 29}{space 2} .0670255{col 40}{space 1}    0.08{col 49}{space 3}0.938{col 57}{space 4}-.1322228{col 70}{space 3}  .142827
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0046093{col 29}{space 2} .0223967{col 40}{space 1}    0.21{col 49}{space 3}0.838{col 57}{space 4}-.0413449{col 70}{space 3} .0505636
{txt}{space 11}male {c |}{col 17}{res}{space 2}  .006639{col 29}{space 2} .0436952{col 40}{space 1}    0.15{col 49}{space 3}0.880{col 57}{space 4}-.0830161{col 70}{space 3} .0962942
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}-.0037898{col 29}{space 2} .0348733{col 40}{space 1}   -0.11{col 49}{space 3}0.914{col 57}{space 4} -.075344{col 70}{space 3} .0677644
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .1128748{col 29}{space 2} .0614515{col 40}{space 1}    1.84{col 49}{space 3}0.077{col 57}{space 4}-.0132133{col 70}{space 3} .2389628
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0815547{col 29}{space 2} .0572666{col 40}{space 1}    1.42{col 49}{space 3}0.166{col 57}{space 4}-.0359468{col 70}{space 3} .1990561
{txt}{space 11}150  {c |}{col 17}{res}{space 2} .1000502{col 29}{space 2} .0639791{col 40}{space 1}    1.56{col 49}{space 3}0.130{col 57}{space 4}-.0312241{col 70}{space 3} .2313244
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0400485{col 29}{space 2} .0514551{col 40}{space 1}   -0.78{col 49}{space 3}0.443{col 57}{space 4}-.1456256{col 70}{space 3} .0655285
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.799245{col 29}{space 2} .1129381{col 40}{space 1}   24.79{col 49}{space 3}0.000{col 57}{space 4} 2.567515{col 70}{space 3} 3.030975
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est8{txt} stored)

{com}. esttab using "IND22_hh.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("Fundament." "Relig. Behav." "Edu. Men" "Husbands" "Takfir" "Violence" "Clerics" "Interest") label keep(hh_abroad age education_years hh_employed_ft married econ_sat male bystander) title(Comparing households with and without a migrant \label{c -(}tab:hh{c )-}) note(OLS with village-clustered SE in parentheses. Includes village fixed effects.) replace
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_hh.tex"'})

{com}. coefplot (extremism_idx_hh, nokey), bylabel(Fundamentalism (index)) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (religion_idx_hh, nokey), bylabel(Relig. behav. (index)) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_ed_gender_hh, nokey), bylabel(Education for men) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_husbands_hh, nokey), bylabel(Husbands final say) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_takfir_hh, nokey), bylabel(Takfir) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_violence_hh, nokey), bylabel(Violence permitted) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_clerics_hh, nokey), bylabel(Clerics inf. gov.) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (ideo_interest_hh, nokey), bylabel(Interest forbidden) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) byopts(row(4)) xsize(5.5)       
{res}{txt}
{com}.         
. eststo clear
{txt}
{com}. foreach outcome in pol_parl_open pol_parl_islam pol_sharia pol_secular {c -(}
{txt}  2{com}.         eststo: reg `outcome' hh_abroad age education_years hh_employed_ft married econ_sat male bystander i.district if lived_abroad==0, cl(location)
{txt}  3{com}.         estimates store `outcome'_hh
{txt}  4{com}.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,395
                                                {txt}F(12, 27)         =  {res}     7.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0423
                                                {txt}Root MSE          =    {res} .99189

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  pol_parl_open{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2} .0023004{col 29}{space 2} .0528233{col 40}{space 1}    0.04{col 49}{space 3}0.966{col 57}{space 4} -.106084{col 70}{space 3} .1106849
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0017911{col 29}{space 2} .0027537{col 40}{space 1}    0.65{col 49}{space 3}0.521{col 57}{space 4} -.003859{col 70}{space 3} .0074412
{txt}education_years {c |}{col 17}{res}{space 2}-.0328004{col 29}{space 2} .0092932{col 40}{space 1}   -3.53{col 49}{space 3}0.002{col 57}{space 4}-.0518685{col 70}{space 3}-.0137322
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}  .076361{col 29}{space 2}  .079333{col 40}{space 1}    0.96{col 49}{space 3}0.344{col 57}{space 4}-.0864169{col 70}{space 3} .2391389
{txt}{space 8}married {c |}{col 17}{res}{space 2} .0833943{col 29}{space 2} .0555746{col 40}{space 1}    1.50{col 49}{space 3}0.145{col 57}{space 4}-.0306354{col 70}{space 3}  .197424
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0545071{col 29}{space 2} .0322423{col 40}{space 1}    1.69{col 49}{space 3}0.102{col 57}{space 4}-.0116486{col 70}{space 3} .1206629
{txt}{space 11}male {c |}{col 17}{res}{space 2} .2049027{col 29}{space 2} .0853941{col 40}{space 1}    2.40{col 49}{space 3}0.024{col 57}{space 4} .0296886{col 70}{space 3} .3801168
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}-.1175177{col 29}{space 2} .0918859{col 40}{space 1}   -1.28{col 49}{space 3}0.212{col 57}{space 4}-.3060519{col 70}{space 3} .0710165
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2}-.1836202{col 29}{space 2} .2095218{col 40}{space 1}   -0.88{col 49}{space 3}0.389{col 57}{space 4}-.6135234{col 70}{space 3}  .246283
{txt}{space 11}110  {c |}{col 17}{res}{space 2}  .102358{col 29}{space 2} .1916463{col 40}{space 1}    0.53{col 49}{space 3}0.598{col 57}{space 4}-.2908677{col 70}{space 3} .4955838
{txt}{space 11}150  {c |}{col 17}{res}{space 2} .1465709{col 29}{space 2} .1742555{col 40}{space 1}    0.84{col 49}{space 3}0.408{col 57}{space 4}-.2109718{col 70}{space 3} .5041137
{txt}{space 11}180  {c |}{col 17}{res}{space 2} .0689973{col 29}{space 2} .1410366{col 40}{space 1}    0.49{col 49}{space 3}0.629{col 57}{space 4}-.2203858{col 70}{space 3} .3583804
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.798219{col 29}{space 2} .2487176{col 40}{space 1}    7.23{col 49}{space 3}0.000{col 57}{space 4} 1.287893{col 70}{space 3} 2.308546
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

Linear regression                               Number of obs     = {res}     1,401
                                                {txt}F(12, 27)         =  {res}    16.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1174
                                                {txt}Root MSE          =    {res} .83785

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} pol_parl_islam{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2} .0059482{col 29}{space 2} .0480684{col 40}{space 1}    0.12{col 49}{space 3}0.902{col 57}{space 4}  -.09268{col 70}{space 3} .1045765
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0040542{col 29}{space 2} .0027393{col 40}{space 1}   -1.48{col 49}{space 3}0.150{col 57}{space 4}-.0096748{col 70}{space 3} .0015663
{txt}education_years {c |}{col 17}{res}{space 2}-.0620815{col 29}{space 2} .0064557{col 40}{space 1}   -9.62{col 49}{space 3}0.000{col 57}{space 4}-.0753275{col 70}{space 3}-.0488356
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0179454{col 29}{space 2} .0626467{col 40}{space 1}    0.29{col 49}{space 3}0.777{col 57}{space 4}-.1105951{col 70}{space 3} .1464859
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.1936819{col 29}{space 2} .0904789{col 40}{space 1}   -2.14{col 49}{space 3}0.041{col 57}{space 4}-.3793293{col 70}{space 3}-.0080345
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0281483{col 29}{space 2} .0305219{col 40}{space 1}    0.92{col 49}{space 3}0.365{col 57}{space 4}-.0344776{col 70}{space 3} .0907741
{txt}{space 11}male {c |}{col 17}{res}{space 2}-.1561562{col 29}{space 2}  .065594{col 40}{space 1}   -2.38{col 49}{space 3}0.025{col 57}{space 4} -.290744{col 70}{space 3}-.0215683
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0637407{col 29}{space 2} .0599683{col 40}{space 1}    1.06{col 49}{space 3}0.297{col 57}{space 4}-.0593041{col 70}{space 3} .1867855
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2}-.0681101{col 29}{space 2} .0843815{col 40}{space 1}   -0.81{col 49}{space 3}0.427{col 57}{space 4}-.2412466{col 70}{space 3} .1050264
{txt}{space 11}110  {c |}{col 17}{res}{space 2}-.1563721{col 29}{space 2}  .086438{col 40}{space 1}   -1.81{col 49}{space 3}0.082{col 57}{space 4}-.3337283{col 70}{space 3} .0209841
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.1603433{col 29}{space 2} .0872737{col 40}{space 1}   -1.84{col 49}{space 3}0.077{col 57}{space 4}-.3394142{col 70}{space 3} .0187276
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.1992468{col 29}{space 2} .0755536{col 40}{space 1}   -2.64{col 49}{space 3}0.014{col 57}{space 4}-.3542698{col 70}{space 3}-.0442237
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.396592{col 29}{space 2} .2013794{col 40}{space 1}   11.90{col 49}{space 3}0.000{col 57}{space 4} 1.983396{col 70}{space 3} 2.809789
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

Linear regression                               Number of obs     = {res}     1,400
                                                {txt}F(12, 27)         =  {res}     6.52
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0429
                                                {txt}Root MSE          =    {res} .57358

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     pol_sharia{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2}-.0499843{col 29}{space 2} .0322085{col 40}{space 1}   -1.55{col 49}{space 3}0.132{col 57}{space 4}-.1160707{col 70}{space 3}  .016102
{txt}{space 12}age {c |}{col 17}{res}{space 2} -.004108{col 29}{space 2} .0015114{col 40}{space 1}   -2.72{col 49}{space 3}0.011{col 57}{space 4}-.0072092{col 70}{space 3}-.0010067
{txt}education_years {c |}{col 17}{res}{space 2}-.0218957{col 29}{space 2} .0050179{col 40}{space 1}   -4.36{col 49}{space 3}0.000{col 57}{space 4}-.0321916{col 70}{space 3}-.0115999
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2}-.0538338{col 29}{space 2}  .051266{col 40}{space 1}   -1.05{col 49}{space 3}0.303{col 57}{space 4}-.1590231{col 70}{space 3} .0513554
{txt}{space 8}married {c |}{col 17}{res}{space 2} -.159702{col 29}{space 2} .0594607{col 40}{space 1}   -2.69{col 49}{space 3}0.012{col 57}{space 4}-.2817054{col 70}{space 3}-.0376987
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0136244{col 29}{space 2} .0255347{col 40}{space 1}    0.53{col 49}{space 3}0.598{col 57}{space 4}-.0387684{col 70}{space 3} .0660172
{txt}{space 11}male {c |}{col 17}{res}{space 2} -.031809{col 29}{space 2} .0491682{col 40}{space 1}   -0.65{col 49}{space 3}0.523{col 57}{space 4}-.1326939{col 70}{space 3} .0690758
{txt}{space 6}bystander {c |}{col 17}{res}{space 2}-.0297186{col 29}{space 2} .0387072{col 40}{space 1}   -0.77{col 49}{space 3}0.449{col 57}{space 4}-.1091391{col 70}{space 3} .0497019
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0939294{col 29}{space 2} .0449695{col 40}{space 1}    2.09{col 49}{space 3}0.046{col 57}{space 4} .0016595{col 70}{space 3} .1861992
{txt}{space 11}110  {c |}{col 17}{res}{space 2}-.0044555{col 29}{space 2} .0361543{col 40}{space 1}   -0.12{col 49}{space 3}0.903{col 57}{space 4} -.078638{col 70}{space 3}  .069727
{txt}{space 11}150  {c |}{col 17}{res}{space 2} .1001475{col 29}{space 2} .0419816{col 40}{space 1}    2.39{col 49}{space 3}0.024{col 57}{space 4} .0140085{col 70}{space 3} .1862866
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0297189{col 29}{space 2} .0437528{col 40}{space 1}   -0.68{col 49}{space 3}0.503{col 57}{space 4}-.1194922{col 70}{space 3} .0600545
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.698548{col 29}{space 2} .1366317{col 40}{space 1}   12.43{col 49}{space 3}0.000{col 57}{space 4} 1.418203{col 70}{space 3} 1.978893
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

Linear regression                               Number of obs     = {res}     1,398
                                                {txt}F(12, 27)         =  {res}     7.00
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0623
                                                {txt}Root MSE          =    {res} .58842

{txt}{ralign 81:(Std. Err. adjusted for {res:28} clusters in location)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    pol_secular{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}hh_abroad {c |}{col 17}{res}{space 2}-.0260932{col 29}{space 2} .0396619{col 40}{space 1}   -0.66{col 49}{space 3}0.516{col 57}{space 4}-.1074726{col 70}{space 3} .0552862
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0002655{col 29}{space 2} .0017169{col 40}{space 1}   -0.15{col 49}{space 3}0.878{col 57}{space 4}-.0037883{col 70}{space 3} .0032573
{txt}education_years {c |}{col 17}{res}{space 2}-.0296436{col 29}{space 2}  .006393{col 40}{space 1}   -4.64{col 49}{space 3}0.000{col 57}{space 4} -.042761{col 70}{space 3}-.0165262
{txt}{space 1}hh_employed_ft {c |}{col 17}{res}{space 2} .0066367{col 29}{space 2} .0336458{col 40}{space 1}    0.20{col 49}{space 3}0.845{col 57}{space 4}-.0623987{col 70}{space 3} .0756721
{txt}{space 8}married {c |}{col 17}{res}{space 2}-.1478821{col 29}{space 2} .0758768{col 40}{space 1}   -1.95{col 49}{space 3}0.062{col 57}{space 4}-.3035685{col 70}{space 3} .0078042
{txt}{space 7}econ_sat {c |}{col 17}{res}{space 2} .0386114{col 29}{space 2} .0188655{col 40}{space 1}    2.05{col 49}{space 3}0.051{col 57}{space 4}-.0000974{col 70}{space 3} .0773202
{txt}{space 11}male {c |}{col 17}{res}{space 2}-.0275837{col 29}{space 2} .0445023{col 40}{space 1}   -0.62{col 49}{space 3}0.541{col 57}{space 4}-.1188949{col 70}{space 3} .0637274
{txt}{space 6}bystander {c |}{col 17}{res}{space 2} .0532395{col 29}{space 2} .0346388{col 40}{space 1}    1.54{col 49}{space 3}0.136{col 57}{space 4}-.0178335{col 70}{space 3} .1243125
{txt}{space 15} {c |}
{space 7}district {c |}
{space 11}101  {c |}{col 17}{res}{space 2} .0537643{col 29}{space 2} .0575855{col 40}{space 1}    0.93{col 49}{space 3}0.359{col 57}{space 4}-.0643914{col 70}{space 3} .1719201
{txt}{space 11}110  {c |}{col 17}{res}{space 2} .0159246{col 29}{space 2} .0581459{col 40}{space 1}    0.27{col 49}{space 3}0.786{col 57}{space 4}-.1033809{col 70}{space 3} .1352302
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.0006179{col 29}{space 2}  .072622{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4} -.149626{col 70}{space 3} .1483901
{txt}{space 11}180  {c |}{col 17}{res}{space 2}-.0328301{col 29}{space 2} .0816937{col 40}{space 1}   -0.40{col 49}{space 3}0.691{col 57}{space 4}-.2004517{col 70}{space 3} .1347915
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.419915{col 29}{space 2} .1384398{col 40}{space 1}   10.26{col 49}{space 3}0.000{col 57}{space 4}  1.13586{col 70}{space 3}  1.70397
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. esttab using "IND22_hh_pol.tex", se star(* .10 ** .05 *** .01) r2 nodep mtitle("Open parl." "Islamist" "Sharia" "Secular") label keep(hh_abroad age education_years hh_employed_ft married econ_sat male bystander) title(Comparing households with and without a migrant \label{c -(}tab:hhpol{c )-}) note(OLS with village-clustered SE in parentheses. Includes village fixed effects.) replace
{txt}(tabulating estimates stored by eststo; specify "." to tabulate the active results)
{res}{txt}(output written to {browse  `"IND22_hh_pol.tex"'})

{com}. coefplot (pol_parl_open_hh, nokey), bylabel(Open parliamentary) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (pol_parl_islam_hh, nokey), bylabel(Islamist) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///
>         || (pol_sharia_hh, nokey), bylabel(Sharia) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) ///    
>         || (pol_secular_hh, nokey), bylabel(Secular) keep(hh_abroad) xline(0) legend(off) msymbol(s) ciopts(color(gs1)) color(gs1) byopts(row(2)) xsize(5.5)    
{res}{txt}
{com}. 
.         
.         
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\mnane\Dropbox\RESEARCH AND TEACHING\Migrants and Extremism\Writing\IDN Migration and Fundamentalism\E ISQ Migration final\ISQ Migration Nanes log file.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}13 Jun 2025, 12:46:12
{txt}{.-}
{smcl}
{txt}{sf}{ul off}